Top 300+ Best Machine Learning Quotes That Will Make You More Interested In It

Top 300+ Best Machine Learning Quotes That Will Make You More Interesting In It Quotes about Machine Learning Curated by Factober

Written by Vishal for Factober

FACTOBER KNOWLEDGE & INSPIRATION

October 10, 2020

Machine Learning Quotes

Machine Learning is one of the hottest topics these days. Did you know Machine Learning is going to be the most popular field in the future? If you want to make a choice, you can think of Machine Learning as a good career option. Even many large tech giants are entering into this field.

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  1. A baby learns to crawl, walk, and then run. We are in the crawling stage when it comes to applying machine learning. Dave Waters
  2. A breakthrough in machine learning would be worth ten Microsofts. Bill Gates
  3. A learning machine is any device whose actions are influenced by past experience. Nils John Nilsson
  4. A lot of times, the failings are not in AI. They’re human failings, and we’re not willing to address the fact that there isn’t a lot of diversity in the teams building the systems in the first place. And somewhat innocently, they aren’t as thoughtful about balancing training sets to get the thing to work correctly. But then teams let that occur again, and again. And you realize, if you’re not thinking about the human problem, then AI isn’t going to solve it for you. Vivienne Ming
  5. A lot of what AI is being used for today only scratches the surface of what can be done. It will become so ubiquitous that we won’t even call it AI anymore. Babak Hodjak
  6. A lot was happening in A.I. But I also realized it wasn’t clear what Salesforce’s role in A.I. was. That’s when we started acquiring quite a few artificial intelligence companies, maybe a dozen. Marc Benioff
  7. A year spent in artificial intelligence is enough to make one believe in God. Alan Perlis
  8. Above all else, show the data. Edward R. Tufte
  9. AI and its offshoot, machine learning, will be a foundational tool for creating social good as well as business success. Mark Hurd
  10. AI can be programed to imitate human behavior only, but it can’t be programmed to feel the emotions that make the humans behave the way they do. Abhijit Naskar
  11. AI does not keep me up at night. Almost no one is working on conscious machines. Deep learning algorithms, or Google search, or Facebook personalization, or Siri or self driving cars or Watson, those have the same relationship to conscious machines as a toaster does to a chess-playing computer. Ramez Naam
  12. AI is a complex field and I am the first to say that we computer scientists have not progressed as far as many people believe. For instance, we currently have no credible research path to any kind of conscious AI algorithm and there are no robots that are truly autonomous or able to make their own decisions — so don’t worry about walking terminators. Richard Socher
  13. AI is a rare case where I think we need to be proactive in regulation than be reactive. Elon Musk
  14. AI research can have irreversible repercussions in the life of the human species, so we must tread cautiously. Abhijit Naskar, Mission Reality
  15. AI skeptics are unconvincing when they say it’s an unsolvable technological problem, and that there’s something intrinsically unique about biological brains. Our brains are biological machines, but they’re machines nonetheless; they exist in the real world and adhere to the basic laws of physics. There’s nothing unknowable about them. George Dvorsky
  16. AI will be the best or worst thing ever for humanity. Elon Musk
  17. Aim for simplicity in Data Science. Real creativity won’t make things more complex. Instead, it will simplify them. Damian Duffy Mingle
  18. All knowledge – past, present, and future – can be derived from data by a single, universal learning algorithm. Pedro Domingos
  19. All the things that made us basically nasty, rapacious, competitive as a species are not necessarily hard-coded into whatever passes for the DNA of artificial intelligence. Robert J. Sawyer
  20. Along with Facebook, Microsoft, and Apple, these companies are in a race to become our ‘personal assistant.’ They want to wake us in the morning, have their artificial intelligence software guide us through our days, and never quite leave our sides. Franklin Foer
  21. And initially, a lot of companies avoid trying to make a really radical new kind of title for a new system, because that would involve learning a new machine and learning how to make the new title at the same time. Trip Hawkins
  22. Another Kilgore Trout book there in the window was about a man who built a time machine so he could go back and see Jesus. It worked, and he saw Jesus when Jesus was only twelve years old. Jesus was learning the carpentry trade from his father. Two Roman soldiers came into the shop with a mechanical drawing on papyrus of a device, which they wanted to be built by the sunrise next morning. It [the device] was a cross to be used in the execution of a rabble-rouser. Jesus and his father build it. They were glad to have the work. And the rabble-rouser was executed on it. So it goes. Kurt Vonnegut
  23. Anything that could give rise to smarter-than-human intelligence—in the form of Artificial Intelligence, brain-computer interfaces, or neuroscience-based human intelligence enhancement – wins hands down beyond contest as doing the most to change the world. Nothing else is even in the same league. Eliezer Yudkowsky
  24. Artificial intelligence and machine learning, as a dominant discipline within AI, is an amazing tool. In and of itself, it’s not good or bad. It’s not a magic solution. It isn’t the core of the problems in the world. Vivienne Ming
  25. Artificial intelligence is capable of many things, and now it looks like AI could potentially given screenwriters a run for their money. There is a movie that has been launched on Kickstarter called Impossible Things, and while movies seeking funding isn’t exactly new, what makes this project so unique is that the script was co-written by AI. Tyler Lee
  26. Artificial intelligence is defined as the branch of science and technology that is concerned with the study of software and hardware to provide machines the ability to learn insights from data and the environment, and the ability to adapt in changing situations with high precision, accuracy and speed. Amit Ray, Compassionate Artificial Superintelligence AI 5.0 – AI with Blockchain, BMI, Drone, IOT, and Biometric Technologies
  27. artificial intelligence is forcing human endeavor away from simple, algorithmic and repetitive tasks towards solving problems and incubating new ideas. It is the human mind, as opposed to the human body, which has been an underutilized resource for far too long. Gyan Nagpal, The Future Ready Organization: How Dynamic Capability Management Is Reshaping the Modern Workplace
  28. Artificial intelligence is growing up fast, as are robots whose facial expressions can elicit empathy and make your mirror neurons quiver. Diane Ackerman
  29. Artificial intelligence is here and being rapidly commercialized, with new applications being created not just for manufacturing but also for energy, healthcare, and oil and gas. This will change how we all do business. Joe Kaeser
  30. Artificial intelligence is just a new tool, one that can be used for good and for bad purposes and one that comes with new dangers and downsides as well. We know already that although machine learning has huge potential, data sets with ingrained biases will produce biased results – garbage in, garbage out. Sarah Jeong
  31. Artificial intelligence is nowhere near attaining actual sentience or awareness. And without awareness it’s simply a mechanical device, which may pretend to show emotions and sentience, if it is programmed to do so, and thus it may be able to fool the humans as being alive, but in its own internal circuitry, it’d simply be following its preprogrammed tasks through the flowchart of an algorithm. Abhijit Naskar
  32. Artificial intelligence is only as good as the data it crunches. Jonathan Vanian
  33. Artificial intelligence is the future, not only for Russian, but for all of humankind. It comes with colossal opportunities, but also threats that are difficult to predict. Whoever becomes the leader in this sphere will become the ruler of the world. Vladimir Putin
  34. Artificial Intelligence is the new electricity. Andrew Ng
  35. Artificial intelligence will be the ultimate version of Google. The ultimate search engine that would understand everything on the web. It would understand exactly what you wanted, and it would give you the right thing. We’re nowhere near doing that now. However, we can get incrementally closer to that, and that is basically what we work on. Larry Page
  36. Artificial intelligence will digitally disrupt all industries. Don’t be left behind. Dave Waters
  37. Artificial Intelligence will not destroy the world. Our irresponsibility will destroy the world. Abhijit Naskar
  38. Artificial intelligence will reach human levels by around 2029. Follow that out further to, say, 2045, we will have multiplied the intelligence, the human biological machine intelligence of our civilization a billion-fold. Ray Kurzweil
  39. Artificial intelligence would be the ultimate version of Google. The ultimate search engine that would understand everything on the web. It would understand exactly what you wanted, and it would give you the right thing. We’re nowhere near doing that now. However, we can get incrementally closer to that, and that is basically what we work on. Larry Page
  40. Artificial Intelligence, deep learning, machine learning — whatever you’re doing if you don’t understand it — learn it. Because otherwise you’re going to be a dinosaur within 3 years. Mark Cuban
  41. Artificial Intelligence, deep learning,machine learning — whatever you’re doing if you don’t understand it — learn it. Because otherwise you’re going to be a dinosaur within 3 years. Mark Cuban
  42. As a data scientist, I can predict what is likely to happen, but I cannot explain why it is going to happen. I can predict when someone is likely to attrite, or respond to a promotion, or commit fraud, or pick the pink button over the blue button, but I cannot tell you why that’s going to happen. And I believe that the inability to explain why something is going to happen is why I struggle to call ‘data science’ a science. Bill Schmarzo
  43. As important as it is to educate the new sets of generations coming in, I also think it’s important to educate the existing workforce, so they can understand how to have AI serve them and their roles. Sarah Aerni
  44. As one Google Translate engineer put it, “when you go from 10,000 training examples to 10 billion training examples, it all starts to work. Data trumps everything. Garry Kasparov, Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins
  45. As we deploy more and give more responsibilities to artificial agents, risks of malfunction that have negative consequences are increasing. Philippe Pasquier
  46. Automation vs. human labor is a false dichotomy. Siddharth Suri, Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass
  47. Before we work on artificial intelligence why don’t we do something about natural stupidity? Steve Polyak
  48. Big data is at the foundation of all of the megatrends that are happening today, from social to mobile to the cloud to gaming. Chris Lynch
  49. Big data is at the foundation of all the megatrends that are happening. Chris Lynch
  50. Big data isn’t about bits, it’s about talent. Douglas Merrill
  51. Big data will replace the need for 80% of all doctors. Vinod Khosla
  52. Big data will spell the death of customer segmentation and force the marketer to understand each customer as an individual within 18 months or risk being left in the dust. Ginni Rometty
  53. By 2029, computers will have emotional intelligence and be convincing as people. Ray Kurzweil
  54. By allowing algorithms to control a great deal of what we see and do online, such designers have allowed technology to become a kind of ‘digital Frankenstein,’ steering billions of people’s attitudes, beliefs, and behaviors.” —Tristan Harris
  55. By far, the greatest danger of Artificial Intelligence is that people conclude too early that they understand it. Eliezer Yudkowsky
  56. By the time we get to the 2040s, we’ll be able to multiply human intelligence a billionfold. That will be a profound change that’s singular in nature. Computers are going to keep getting smaller and smaller. Ultimately, they will go inside our bodies and brains and make us healthier, make us smarter. Ray Kurzweil
  57. Can we design AI systems whose goals do not conflict with ours so that we are sure to be happy with they way they behave? This is far from easy — after all, stories with a genie and three wishes often end with a third wish to undo the first two. Stuart Russell
  58. Change is hard within organizations. It’s unclear to me whether or not AI just as a technology is going to radically change all of the challenges that we have within an organization. Things like getting people to change, change their practices and processes, and using this set of technologies. There is a huge gap in terms of what we can do now with AI. There’s improved lead generation that machine learning can do better than humans. And then there’s the Westworld-style ‘is it murder if you kill a robot’ scenario. There’s a big gap between those two things. I think you can start working on understanding the business problems now before you have to worry about Skynet taking over. Knock down the things AI can solve now. Michael Chiu
  59. China, Russia, soon all countries w[ith] strong computer science. Competition for AI superiority at national level most likely cause of WW3. Elon Musk
  60. Cloud is the digital wonderland of Internet of Things, powered by Artificial Intelligence and Big Data. Enamul Haque, Digital Transformation Through Cloud Computing: Developing a sustainable business strategy to eschew extinction
  61. Columbus was not the first person to discover America, but the last. Pedro Domingos, The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
  62. Companies like calling their technologies AI. It sounds better, it’s more futuristic, but it’s not AI: it’s actually data analytics. Alan Smeaton
  63. Compassionate artificial intelligence and social robots frameworks work based on deep inter-brain synchrony, which couples the human brain with the robot’s physiology and behavior during the moments of social contacts. Amit Ray, Compassionate Artificial Superintelligence AI 5.0 – AI with Blockchain, BMI, Drone, IOT, and Biometric Technologies
  64. Computation is not the same as thought and emulation is not the same as imagination. Abhijit Naskar, Mission Reality
  65. Computers are programmed, so are the humans, but the computers can’t act outside their programming, whereas the humans can. Abhijit Naskar, The Constitution of The United Peoples of Earth
  66. Consider what it means to teach an autonomous robot to do something as simple as mowing grass. First, you take a long wire and lay it carefully around the borders of your lawn. Then you can set your mower loose. It doesn’t know or care what a lawn is, or what mowing means: it will simply criss-cross the area bound by the wire until it has covered all the ground. You have successfully adapted an environment — your lawn — into something a machine understands. Tom Chatfield
  67. Consumer data will be the biggest differentiator in the next two to three years. Whoever unlocks the reams of data and uses it strategically will win. Angela Ahrendts
  68. Cyber hygiene, patching vulnerabilities, security by design, threat hunting and machine learning based artificial intelligence are mandatory prerequisites for cyber defense against the next generation threat landscape. James Scott, Senior Fellow, Institute for Critical Infrastructure Technology
  69. Data are becoming the new raw material of business. Craig Mundie
  70. Data are just summaries of thousands of stories. Chip & Dan Heath
  71. Data beats emotion. Sean Rad
  72. Data is a precious thing and will last longer than the systems themselves. Tim Berners-Lee
  73. Data is the new science. Big Data holds the answers. Pat Gelsinger
  74. Data really powers everything that we do. Jeff Weiner
  75. Data scientists are involved with gathering data, massaging it into a tractable form, making it tell its story, and presenting that story to others. Mike Loukides
  76. Data that is loved tends to survive. Kurt Bollacker
  77. Data that sit unused are no different from data that were never collected in the first place. Doug Fisher
  78. Data, I think, is one of the most powerful mechanisms for telling stories. I take a huge pile of data and I try to get it to tell stories. Steven Levitt
  79. Digital technology, pervasively, is getting embedded in every place: every thing, every person, every walk of life is being fundamentally shaped by digital technology — it is happening in our homes, our work, our places of entertainment. It’s amazing to think of a world as a computer. I think that’s the right metaphor for us as we go forward. Satya Nadella
  80. Do we need to worry about the runaway “artificial general intelligence” that goes out of control and takes over the world? Yes — but perhaps not for another 15 or 20 years. There are justified fears that rather than being told what to learn and complementing our capabilities, AIs will start learning everything there is to learn and know far more than we do. Though some people, such as futurist Ray Kurzweil, see us using AI to evolve together, others, such as Elon Musk and Stephen Hawking, fear that AI will usurp us. We really don’t know where all this will go. Vivek Wadhwa
  81. Doctors can be replaced by software â 80% of them can. I’d much rather have a good machine learning system diagnose my disease than the median or average doctor. Vinod Khosla
  82. Econometrics is the application of classical statistical methods to economic and financial series. The essential tool of econometrics is multivariate linear regression, an 18th-century technology that was already mastered by Gauss before 1794. Standard econometric models do not learn. It is hard to believe that something as complex as 21st-century finance could be grasped by something as simple as inverting a covariance matrix. Marcos Lopez de Prado, Advances in Financial Machine Learning
  83. Emotional and creative intelligence: the final frontier. These are the voyages of AI. Its mission: to explore strange new emotions and creative worlds. To seek out empathy and the artistic muse. To boldly go where no robot has gone before! Khang Kijarro Nguyen
  84. Errors per qubit per quantum gate can be handled more efficiently by machine learning techniques. For quantum error correction deep learning algorithms provides greater promises. Amit Ray, Compassionate Artificial Superintelligence AI 5.0 – AI with Blockchain, BMI, Drone, IOT, and Biometric Technologies
  85. Errors using inadequate data are much less than those using no data at all. Charles Babbage
  86. Especially girls, but any kids exposed to music programs and arts programs do much better on their tests. They have a better chance of going to college. They can focus better. You know, we’re not just automatons learning how to work machines and do engineering and math and science. All of that’s great, but you’ve got to build a whole person. Bonnie Raitt
  87. Every company has big data in its future and every company will eventually be in the data business. Thomas H. Davenport
  88. Every machine has artificial intelligence. And the more advanced a machine gets, the more advanced artificial intelligence gets as well. But, a machine cannot feel what it is doing. It only follows instructions – our instructions – instructions of the humans. So, artificial intelligence will not destroy the world. Our irresponsibility will destroy the world. Abhijit Naskar
  89. Every major player is working on this technology of artificial intelligence. As of now, it’s benign…But I would say that the day is not far off when artificial intelligence, when applied to cyber warfare, becomes a threat to everybody. Ted Bell
  90. Every serious technology company now has an Artificial Intelligence team in place. These companies are investing millions into intelligent systems for situation assessment, prediction analysis, learning-based recognition systems, conversational interfaces, and recommendation engines. Companies such as Google, Facebook, and Amazon aren’t just employing AI, but have made it a central part of their core intellectual property. Kristian J. Hammond
  91. Everybody has certain red flags they want to keep an eye on, and big data tools enable you to do that in fairly close to real time. Brian Loughman
  92. Everything is going to be connected to cloud and data… All of this will be mediated by software. Satya Nadella
  93. Everything that civilisation has to offer is a product of human intelligence; we cannot predict what we might achieve when this intelligence is magnified by the tools that AI may provide, but the eradication of war, disease, and poverty would be high on anyone’s list. Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last. Stephen Hawking
  94. Evolution is the ultimate example of how much a simple learning algorithm can achieve given enough data. Its input is the experience and fate of all living creatures that ever existed. (Now that’s big data.) On the other hand, it’s been running for over three billion years on the most powerful computer on Earth: Earth itself. Pedro Domingos
  95. Facts are stubborn, but statistics are more pliable. Mark Twain
  96. Fairness is a big issue. Human behavior is already discriminatory in many respects. The data we’ve accumulated is discriminatory. How can we use technology and AI to reduce discrimination and increase fairness? There are interesting works around adversarial neural networks and different technologies that we can use to bias toward fairness, rather than perpetuate the discrimination. I think we’re in an era where responsibility is something you need to design and think about as we’re putting these new systems out there so we don’t have these adverse outcomes. Paul Daugherty
  97. Forget artificial intelligence – in the brave new world of big data, it’s artificial idiocy we should be looking out for. Tom Chatfield
  98. Future Artificial Intelligence (AI) is more about human emotions, compassion, values and elimination of human sufferings. Amit Ray, Compassionate Artificial Intelligence
  99. God Bias: When an algorithm or neural network inherits flaws of it’s human creator. Clyde DeSouza
  100. Google will fulfill its mission only when its search engine is AI-complete. You guys know what that means? That’s artificial intelligence. Larry Page
  101. Governments don’t need to follow normal laws. They will obtain AI developed by companies at gunpoint, if necessary. Elon Musk
  102. Graphics has lately made a great shift towards machine learning, which itself is about understanding data. Jefferson Han
  103. Harnessing machine learning can be transformational, but for it to be successful, enterprises need leadership from the top. This means understanding that when machine learning changes one part of the business — the product mix, for example — then other parts must also change. This can include everything from marketing and production to supply chain, and even hiring and incentive systems. Erik Brynjolfsson
  104. Harnessing machine learning can be transformational, but for it to be successful, enterprises need leadership from the top. This means understanding that when machine learning changes one part of the business — the product mix, for example — then other parts must also change. This can include everything from marketing and production to supply chain, and even hiring and incentive systems. Erik Brynjolfsson, Director of the MIT Initiative on the Digital Economy.
  105. Hiding within those mounds of data is the knowledge that could change the life of a patient, or change the world. Atul Butte
  106. History is not going to look kindly on us if we just keep our head in the sand on armed autonomous robotics issue because it sounds too science fiction. Peter Singer
  107. Humane technology starts with an honest appraisal of human nature. We need to do the uncomfortable thing of looking more closely at ourselves.” —Tristan Harris
  108. Humans need and want more time to interact with each other. I think AI coming about and replacing routine jobs is pushing us to do what we should be doing anyway: the creation of more humanistic service jobs. Dr. Kai-Fu Lee
  109. Humans should be worried about the threat posed by artificial intelligence. Bill Gates
  110. I absolutely don’t think a sentient artificial intelligence is going to wage war against the human species. Daniel H. Wilson
  111. I am learning slowly to bring my crazy pinball-machine mind back to this place… Anne Lamott
  112. I am not normally an advocate of regulation and oversight…I think one should generally err on the side of minimizing those things…but this is a case where you have a very serious danger to the public. Elon Musk
  113. I am telling you, the world’s first trillionaires are going to come from somebody who masters AI and all its derivatives,and applies it in ways we never thought of. Mark Cuban
  114. I don’t want to really scare you, but it was alarming how many people I talked to who are highly placed people in AI who have retreats that are sort of ‘bug-out’ houses, to which they could flee if it all hits the fan. James Barrat
  115. I had been impressed by the fact that biological systems were based on molecular machines and that we were learning to design and build these sorts of things. K. Eric Drexler
  116. I have exposure to the most cutting edge AI, and I think people should be really concerned by it…AI is a fundamental risk to the existence of human civilization in a way that car accidents, airplane crashes, faulty drugs or bad food were not — they were harmful to a set of individuals within society, of course, but they were not harmful to society as a whole. Elon Musk
  117. I heard reiteration of the following claim: Complex theories do not work; simple algorithms do. I would like to demonstrate that in the area of science a good old principle is valid: Nothing is more practical than a good theory. Vladimir N Vapnik
  118. I keep saying that the sexy job in the next 10 years will be statisticians, and I’m not kidding. Hal Varian
  119. I predict that, because of artificial intelligence and its ability to automate certain tasks that in the past were impossible to automate, not only will we have a much wealthier civilization, but the quality of work will go up very significantly and a higher fraction of people will have callings and careers relative to today. Jeff Bezos
  120. I think one of the most important things that government and industry can do is think beyond bottom line reporting, and more about the AI we deploy itself. This is a more influential technology than we have ever seen. [We need to think about] not just the conversational stuff we’re seeing today, but the future AI that’s going to be making complex decisions on our behalf. What is the impact AI is having on human lives? That’s where we need to go. Liesl Yearsley
  121. I think people need to understand that deep learning is making a lot of things, behind-the-scenes, much better. Deep learning is already working in Google search, and in image search; it allows you to image search a term like hug. Geoffrey Hinton
  122. I think the future of global competition is, unambiguously, about creative talent, and I’m far from the only person who sees this as the main competition point going forward. Everyone will have access to amazing AI. Your vendor on that will not be a huge differentiator. Your creative talent though — that will be who you are. Instead of chasing that race to the bottom on labor costs, invest in turning your talent into a team of explorers who can solve amazing problems using AI as the tool that takes the busy work out. That is the company that wins in the end. Vivienne Ming
  123. I think what makes AI different from other technologies is that it’s going to bring humans and machines closer together. AI is sometimes incorrectly framed as machines replacing humans. It’s not about machines replacing humans, but machines augmenting humans. Humans and machines have different relative strengths and weaknesses, and it’s about the combination of these two that will allow human intents and business process to scale 10x, 100x, and beyond that in the coming years. Robin Bordoli
  124. I visualize a time when we will be to robots what dogs are to humans, and I am rooting for the machines. Claude Elwood Shannon
  125. I was 17 and just learning what high fidelity was, what good sound was, and learning the mechanics of tape machines. It was a real education, going right from the consumer end to the record factory. Alan Parsons
  126. I’m increasingly inclined to think that there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don’t do something very foolish. I mean with the artificial intelligence we are summoning the demon. Elon Musk
  127. If a machine can teach itself how to fly a helicopter upside down, it may be able to teach itself other things too, like how to find love on Tinder, or recognize your voice when you speak into your iPhone, or, at the outer reaches, design a Terminator-spewing Skynet. Jeff Goodell
  128. If a machine ever gains awareness, it will be not due to our careful programming, but due to an unforeseeable anomaly. Abhijit Naskar, The Gospel of Technology
  129. If AI has a goal and humanity just happens to be in the way, it will destroy humanity as a matter of course without even thinking about it…It’s just like, if we’re building a road and an anthill just happens to be in the way, we don’t hate ants, we’re just building a road. Elon Musk
  130. If it is artificial intelligence we are trying to develop, then there is no need for concern, for no matter how smart an AI gets, it’ll still not be able to defy the programming of its creator, but if it is artificial sentience we want to develop, then we must rethink. Abhijit Naskar
  131. If there’s one thing the world’s most valuable companies agree on, it’s that their future success hinges on artificial intelligence. Enrique Dans
  132. If we have data, let’s look at data. If all we have are opinions, let’s go with mine. Jim Barksdale
  133. If we have data, let’s look at data. If all we have are opinions, let’s go with mine. Jim Barksdale
  134. If you had all of the world’s information directly attached to your brain, or an artificial brain that was smarter than your brain, you’d be better off. Sergey Brin
  135. If you read about quantum machine-learning applications that solve some conventional machine-learning problem with a fantastic speedup, always be sure to check whether they return a quantum output. Quantum outputs, such as amplitude-encoded vectors, limit the usage of applications, and require additional specification of how to extract practical, useful results. Mercedes Gimeno-Segovia, Programming Quantum Computers: Essential Algorithms and Code Samples
  136. If you’re not concerned about AI safety, you should be. Vastly more risk than North Korea. Elon Musk
  137. If you’re not concerned about AI safety, you should be. Vastly more risk(y) than North Korea. Elon Musk
  138. In a few years artificial intelligence virtual assistants will be as common as the smart phone. Dave Waters
  139. In God we trust. All others must bring data. W. Edwards Deming
  140. In our business, we talk about emerging technologies and how they impact society. We’ve never seen a technology move as fast as AI has to impact society and technology. This is by far the fastest moving technology that we’ve ever tracked in terms of its impact and we’re just getting started. Paul Daugherty
  141. In the end you should only measure and look at the numbers that drive action, meaning that the data tells you what you should do next. Alexander Peiniger
  142. In the era where artificial intelligence and algorithms make more decisions in our lives and in organizations, the time has come for people to tap into their intuition as an adjunct to today’s technical capabilities. Our inner wisdom can embed empirical data with humanity. Abhishek Ratna
  143. In the long term, artificial intelligence and automation are going to be taking over so much of what gives humans a feeling of purpose. Matt Bellamy
  144. In this era of profound digital transformation, it’s important to remember that business, as well as government, has a role to play in creating shared prosperity — not just prosperity. After all, the same technologies that can be used to concentrate wealth and power can also be used to distribute it more widely and empower more people. Erik Brynjolfsson
  145. Information is the oil of the 21st century, and analytics is the combustion engine. Peter Sondergaard
  146. Is artificial intelligence less than our intelligence? Spike Jonze
  147. Isn’t it remarkable that of all the machines devised by the humans, not one can replace imagination! Abhijit Naskar, Mission Reality
  148. It is a capital mistake to theorize before one has data. Arthur Conan Doyle
  149. It is going to be interesting to see how the society deals with artificial intelligence, but it will definitely be cool. Colin Angle
  150. It seems probable that once the machine thinking method had started, it would not take long to outstrip our feeble powers. They would be able to converse with each other to sharpen their wits. At some stage, therefore, we should have to expect the machines to take control. Alan Turing
  151. It’s time to wake up and smell the Mutating Hash! Signature Based Malware Detection is Dead. James Scott, Senior Fellow, Institute for Critical Infrastructure Technology
  152. It’s about having open borders within your organization. The bigger you get, the more siloed you get. It gets very difficult because there’s always political winds blowing this way or that. But when we’re talking about innovation at this scale — and it is here — it’s inevitable. Those who adopt this strategy [of collaborating and strategizing together] will win, and those who do not will lose terribly. John Frémont
  153. It’s easy to lie with statistics. It’s hard to tell the truth without statistics. Andrejs Dunkels
  154. It’s going to be interesting to see how society deals with artificial intelligence, but it will definitely be cool. Colin Angle
  155. It’s natural to wonder if there will be a jobless future or not. What we’ve concluded, based on much research, is that there will be jobs lost, but also gained, and changed. The number of jobs gained and changed is going to be a much larger number, so if you ask me if I worry about a jobless future, I actually don’t. That’s the least of my worries. James Manyika
  156. Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that I don’t think AI (Artificial Intelligence) will transform in the next several years. Andrew Ng
  157. Just because a machine passes the Turing Test–in which a computer is indistinguishable from a human–that doesn’t mean it’s conscious. To us, an advanced AI may give the impression of consciousness, but it will be no more aware of itself than a rock or a calculator. George Dvorsky
  158. Karma of humans is AI. Raghu Venkatesh
  159. Learning from data is virtually universally useful. Master it and you will be welcomed anywhere. John Elder
  160. Leaving society to algorithms will be like leaving healthcare to stethoscopes. Abhijit Naskar, The Gospel of Technology
  161. Machine intelligence is the last invention that humanity will ever need to make. Nick Bostrom.
  162. Machine learning and artificial intelligence are the keys to just about every aspect of life in the very near future: every sector, every business. If you run a business, its future depends on your ability to generate data about its activities, data that can then be fed into algorithms. Enrique Dans
  163. Machine learning and deep learning will create a new set of hot jobs in the next 5 years. Dave Waters
  164. Machine learning is going to result in a real revolution. Greg Papadopoulos
  165. Machine learning is the hot new thing. John Hennessy
  166. Machine learning is the next internet. Tony Tether
  167. Machine learning is the science of getting computers to learn without being explicitly programmed. Sebastian Thrun
  168. Machine learning is today’s discontinuity. Jerry Yang
  169. Machine learning today is one of the hottest aspects of computer science. Steve Ballmer
  170. Machine learning will bring about not just a new era of civilization, but a new stage in the evolution of life on earth. Pedro Domingos, The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
  171. Machine learning will increase productivity throughout the supply chain. Dave Waters
  172. Machine learning, in the simplest terms, is the analysis of statistics to help computers make decisions base on repeatable characteristics found in the data. Vardhan Kishore Agrawal
  173. Machines of this character can behave in a very complicated manner when the number of units is large. Alan Turing
  174. Man’s relationship with technology is complex. We always invent technology, but then technology comes back and reinvents us. Atul Jalan, Where Will Man Take Us?: The bold story of the man technology is creating
  175. Mark my words, AI is far more dangerous than nukes…why do we have no regulatory oversight? Elon Musk
  176. Measuring progress in AI is not easy. The layperson usually cites the Turing test, developed by Bletchley Park codebreaker Alan Turing in 1950. It focuses on whether a computer can convince a human in a blind test that they are talking to another human. But that test, says Shanahan, is more about “tricking” people through mimicry than developing AI genuinely capable of learning. Rob Davies
  177. More data beats clever algorithms, but better data beats more data. Peter Norvig
  178. Mother-infant inter-brain synchrony algorithms of compassionate artificial intelligence and social robots are developed based on brain-to-brain synchrony of gaze, facial expressions and heart rhythms between mother and child. Amit Ray, Compassionate Artificial Intelligence
  179. Much of what we do with machine learning happens beneath the surface. Machine learning drives our algorithms for demand forecasting, product search ranking, product and deals recommendations, merchandising placements, fraud detection, translations, and much more. Though less visible, much of the impact of machine learning will be of this type — quietly but meaningfully improving core operations. Jeff Bezos
  180. My team has a saying: what looks like magic to your competitors in five years is just your good planning. And it really is. It takes a lot of money, work, and effort to get where you’re going with advancements in AI. John Frémont
  181. Neither Man, nor machine can replace its creator. Tapan Ghosh, Faceless The Only Way Out
  182. No great marketing decisions have ever been made on qualitative data. John Sculley
  183. No programming language is perfect. There is not even a single best language; there are only languages well suited or perhaps poorly suited for particular purposes. Understanding the problem and associated programming requirements is necessary for choosing the language best suited for the solution. Herbert Mayer
  184. No technology that’s connected to the internet is unhackable. Abhijit Naskar, The Gospel of Technology
  185. Nobody phrases it this way, but I think that artificial intelligence is almost a humanities discipline. It really is an attempt to understand human intelligence and human cognition. Sebastian Thrun
  186. Nowadays, we have computers performing tasks that require the equivalent of human intelligence. Back in the day it was thought that this would require a certain type of processing: a deep semantic representation of meaning and complex inference. It turns out that sheer brute force data analytics cuts the mustard just as well. Alan Smeaton
  187. Once computers can effectively reprogram themselves, leading to a so-called technological singularity” or intelligence explosion,” the risks of machines outwitting humans in battles of resources and self-preservation cannot simply be dismissed. Gary Marcus
  188. Once you trust a self-driving car with your life, you pretty much will trust Artificial Intelligence with anything. Dave Waters
  189. One can imagine such technology outsmarting financial markets, out-inventing human researchers, out-manipulating human leaders, and developing weapons we cannot even understand. Whereas the short-term impact of AI depends on who controls it, the long-term impact depends on whether it can be controlled at all. Stephen Hawking
  190. One of the first areas artificial intelligence will take many jobs is transportation. Bus drivers, truckers, taxicab drivers… need to start thinking about new careers. Dave Waters
  191. One of the key algorithms of compassionate artificial intelligence is Mother-Infant Inter-brain Synchrony algorithm, which mimics the brain-to-brain synchrony of gaze, facial expressions, touch and heart rhythms of mother and child. Amit Ray, Compassionate Artificial Superintelligence AI 5.0 – AI with Blockchain, BMI, Drone, IOT, and Biometric Technologies
  192. One of the most important problems in machine learning—and life—is the exploration-exploitation dilemma. If you’ve found something that works, should you just keep doing it? Or is it better to try new things, knowing it could be a waste of time but also might lead to a better solution? Would you rather be a cowboy or a farmer? Start a company or run an existing one? Go steady or play the field? A midlife crisis is the yearning to explore after many years spent exploiting. Pedro Domingos, The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
  193. One of the things we did at PayPal was collaborative filtering and machine learning: looking at patterns of human behavior. We used it there to predict when people would try to cheat the system to get money. But you can predict pretty much any behavior with a certain amount of accuracy. Max Levchin
  194. Our research says that 50% of the activities that we pay people to do can be automated by adapting currently demonstrated technologies. We think it’ll take decades, but it will happen. So there is a role for business leaders to try to understand how to redeploy talent. It’s important to think about mass redeployment instead of mass unemployment. That’s the right problem to solve. Michael Chiu
  195. Pattern recognition and association make up the core of our thought. These activities involve millions of operations carried out in parallel, outside the field of our consciousness. If AI appeared to hit a brick wall after a few quick victories, it did so owing to its inability to emulate these processes. Daniel Crevier
  196. People worry that computers will get too smart and take over the world, but the real problem is that they’re too stupid and they’ve already taken over the world. Pedro Domingos
  197. Predicting the future isn’t magic, it’s artificial intelligence. Dave Waters
  198. Pretending to have sentience is not the same as having sentience. Abhijit Naskar
  199. Pretending to have sentience is not the same as showing signs of sentience. Abhijit Naskar, The Constitution of The United Peoples of Earth
  200. Quantum attention functions are the keys to quantum machine learning. Amit Ray, Quantum Computing Algorithms for Artificial Intelligence
  201. Quantum Machine Learning is defined as the branch of science and technology that is concerned with the application of quantum mechanical phenomena such as superposition, entanglement and tunneling for designing software and hardware to provide machines the ability to learn insights and patterns from data and the environment, and the ability to adapt automatically to changing situations with high precision, accuracy and speed. Amit Ray
  202. Quantum machine learning promises to discover the optimal network topologies and hyperparameters automatically without human intervention. Amit Ray
  203. Robots will be able to do everything better than us…I am not sure exactly what to do about this. This is really the scariest problem to me. Elon Musk
  204. Signature-based malware detection is dead. Machine learning based Artificial Intelligence is the most potent defense the next gen adversary and the mutating hash. James Scott, Senior Fellow, Institute for Critical Infrastructure Technology
  205. Simple models and a lot of data trump more elaborate models based on less data. Peter Norvig
  206. Simulating the behavior of 100 billion neurons of human brain is not feasible by classical computer but quantum machine learning promises to fulfill that requirement. Amit Ray, Quantum Computing Algorithms for Artificial Intelligence
  207. Some cultures embrace privacy as the highest priority part of their culture. That’s why the U.S., Germany, and China may be at different levels in the spectrum. But I also believe fundamentally that every user does not want his or her data to be leaked or used to hurt himself or herself. I think GDPR is a very good first step, even though I might disagree with the way it was implemented and the effect it has on companies. I think governments should put a stake in the ground and say this is what we’re doing to protect privacy. Kai-Fu Lee
  208. Some of the best theorizing comes after collecting data because then you become aware of another reality. Robert J. Shiller
  209. Some people call this artificial intelligence, but the reality is this technology will enhance us. So, instead of artificial intelligence, I think we’ll augment our intelligence. Ginni Rometty
  210. Some people worry that artificial intelligence will make us feel inferior, but then, anybody in his right mind should have an inferiority complex every time he looks at a flower. Alan Kay
  211. Tablebases [logs of complete chess games played backwards from the end-state of checkmate] are the clearest case of human chess vs. alien chess. A decade of trying to teach computers how to play endgames was rendered obsolete in an instant thanks to a new tool. This is a pattern we see over and over again in everything related to intelligent machines. It’s wonderful if we can teach machines to think like we do, but why settle for thinking like a human if you can be a god? Garry Kasparov, Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins
  212. Technology, through automation and artificial intelligence, is definitely one of the most disruptive sources. Alain Dehaze
  213. Thanks to big data, machines can now be programmed to the next thing right. But only humans can do the next right thing. Dov Seidman
  214. The algorithms of superintelligence will change the world in a positive way but trouncing human being will not be possible due to emotions, empathy, social interactions, reproduction, and mortality which are the qualities that belong to humans only. Enamul Haque
  215. The beauty of quantum machine learning is that we do not need to depend on an algorithm like gradient descent or convex objective function. The objective function can be nonconvex or something else. Amit Ray
  216. The business should come to realize that the secret of Data Science is to remove all ideas, all concepts, in order for the truth to have a chance to reveal itself. Damian Mingle
  217. The business would do good to understand that success or failure is not final in Data Science. For this reason, the business should develop a persistent spirit. Damian Mingle
  218. The countries with the highest robot density, have among the lowest unemployment rates. Technology and humans combined in the right way will drive prosperity. Ulrich Spiesshofer
  219. The data fabric is the next middleware. Todd Papaioannou
  220. The development of full artificial intelligence could spell the end of the human race…It would take-off on its own and redesign itself at an ever-increasing rate. Humans, who are limited by slow biological evolution, couldn’t compete and would be superseded. Stephen Hawking
  221. The field of Artificial Intelligence is set to conquer most of the human disciplines; from art and literature to commerce and sociology; from computational biology and decision analysis to games and puzzles. Anand Krish
  222. The genius of America’s endless war machine is that, learning from the unpleasantness of the Vietnam war protests, it has rendered the costs of war largely invisible. Glenn Greenwald
  223. The goal is to turn data into information, and information into insight. Carly Fiorina
  224. The gradual platformization of AI is very interesting to me. The efforts by Google, Amazon, Salesforce — they’re bringing AI down to a level of not needing to be an expert to use it. … I think the day that any good software engineer can program AI will be the day it really proliferates. Kai-Fu Lee
  225. The great paradox of automation is that the desire to eliminate human labor always generates new tasks for humans. Mary L. Gray, Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass
  226. The greater the uncertainty, the bigger the gap between what you can measure and what matters, the more you should watch out for overfitting – that is, the more you should prefer simplicity. Tom Griffiths, Algorithms to Live By: The Computer Science of Human Decisions
  227. The greatest benefit of machine learning may ultimately be not what the machines learn but what we learn by teaching them. Pedro Domingos
  228. The greatest mystery in the universe is not how it begins or ends, or what infinitesimal threads it’s woven from, it’s what goes on in a small child’s mind: how a pound of gray jelly can grow into the seat of consciousness. Pedro Domingos
  229. The human condition is plagued with a labyrinth of shortcomings, frailties and limitations that hinder man from reaching his fullest potential. Therefore, it only makes sense that we find ourselves at the next phase in human evolution where restricted man merges with the infinite possibilities of hyper-evolving technologies. This techno-human transmutation will prove to be ‘the’ quantum leap in human progression. The harmonization of technologically extending oneself, consciousness, artificial intelligence and machine learning will reverse the failures of genetic predisposition and limitation. James Scott, Senior Fellow, Institute for Critical Infrastructure Technology
  230. The humans have become so obsessed with innovation that they have completely ignored their own soul. And among these innovation-obsessed humans, the so-called transhumanists are the most deluded bunch, for they don’t have a clue of any kind of order in the human mind, yet they boast about developing more advanced technologies to merge the mind with machine – and the most interesting thing to notice here is that, they don’t even have a clue that they don’t have a clue. Abhijit Naskar, Let The Poor Be Your God
  231. The internet will disappear. There will be so many IP addresses, so many devices, sensors, things that you are wearing, things that you are interacting with, that you won’t even sense it. It will be part of your presence all the time. Imagine you walk into a room, and the room is dynamic. And with your permission, you are interacting with the things going on in the room. Eric Schmidt
  232. The key to artificial intelligence has always been the representation. Jeff Hawkins
  233. The least scary future I can think of is one where we have at least democratized AI…[also] when there’s an evil dictator, that human is going to die. But for an AI, there would be no death. It would live forever. And then you’d have an immortal dictator from which we can never escape. Elon Musk
  234. The most valuable commodity I know of is information. Gordon Gekko
  235. The only limit to AI is human imagination. Chris Duffey, Superhuman Innovation: Transforming Business with Artificial Intelligence
  236. The only way to make sure that you don’t lose your job with the arrival of AI, is to do something that AI cannot do, and the only thing that artificial intelligence cannot do but a human can, is being original. So, do something original and no AI can ever replace you. Abhijit Naskar
  237. The pace of progress in artificial intelligence (I’m not referring to narrow AI) is incredibly fast. Unless you have direct exposure to groups like Deepmind, you have no idea how fast—it is growing at a pace close to exponential. The risk of something seriously dangerous happening is in the five-year timeframe. 10 years at most. Elon Musk wrote
  238. The playing field is poised to become a lot more competitive, and businesses that don’t deploy AI and data to help them innovate in everything they do will be at a disadvantage. Paul Daugherty
  239. The potential benefits of artificial intelligence are huge, so are the dangers. Dave Waters
  240. The problem that needs to be addressed is that the government, itself, needs to get a better handle on how technology systems interact with the citizenry. Secondarily, there needs to be more cross-talk between industry, civil society, and the academic organizations working to advance these technologies and the government institutions that are going to be representing them. Terah Lyons
  241. The purest case of an intelligence explosion would be an Artificial Intelligence rewriting its own source code. The key idea is that if you can improve intelligence even a little, the process accelerates. It’s a tipping point. Like trying to balance a pen on one end – as soon as it tilts even a little, it quickly falls the rest of the way. Eliezer Yudkowsky
  242. The quiet statisticians have changed our world; not by discovering new facts or technical developments, but by changing the ways that we reason, experiment and form our opinions.
  243. The reality is that AI is there to act as a supplement to human life and expand our capacities. Abhijit Naskar
  244. The relationship between humans and machines is better imagined as a partnership with machines employed to do work too repetitive or rudimentary for human intelligence, too dangerous for human well-being or too complex for human time. Human capability, on the other hand, has always excelled at fashioning such machines, creating meaning from the unfamiliar and in imaginative pursuits. In such an arrangement, technology does replace human effort, but only in areas where human effort is sub-optimal. Gyan Nagpal, The Future Ready Organization: How Dynamic Capability Management Is Reshaping the Modern Workplace
  245. The rise of A.I. cannot be rolled back. But, rather than simply trying to control it through the command and control regulations of years past, Washington should embrace change and seek to construct new regulatory approaches that can channel these powerful tools toward positive ends. That would be revolutionary indeed.
  246. The rise of smart machines is unlike any other technological revolution because what is ultimately at stake here is the very idea of humanness — we may be on the verge of creating a new life form, one that could mark not only an evolutionary breakthrough, but a potential threat to our survival as a species. Jeff Goodell
  247. The sad thing about artificial intelligence is that it lacks artifice and therefore intelligence. Jean Baudrillard
  248. The science of machine learning is largely experimental because no universal learning algorithm exists–none can enable the computer to learn every task it is given well. Any knowledge-acquisition algorithm needs to be tested on learning tasks and data specific to the situation at hand, whether it is recognizing a sunset or translating English into Urdu. There is no way to prove that it will be consistently better across the board for any given situation than all other algorithms. Yoshua Bengio
  249. The strong comeback for AI after a long and extended hiatus provides a lesson in the sociology of science, underscoring the need to put forward ideas that challenge the technological status quo. Yoshua Bengio
  250. The three big categories [for building ethics into AI] are first, creating an ethical culture; then being transparent; and then finally taking the action of removing exclusion, whether that’s in your data sets or your algorithms. Kathy Baxter
  251. The truth is that throughout my careers in both chess and the martial arts, I often knew that my rivals were more naturally gifted than me – either with their mental machines or their bodies. But I have believed in my training, my approach to learning, and my ability to rise to the challenge under pressure. Joshua Waitzkin
  252. The upheavals [of artificial intelligence] can escalate quickly and become scarier and even cataclysmic. Imagine how a medical robot, originally programmed to get rid of the cancer, could conclude that the best way to obliterate cancer is to exterminate humans who are genetically prone to the disease. Nick Bilton
  253. The upheavals [of artificial intelligence] can escalate quickly and become scarier and even cataclysmic. Imagine how a medical robot, originally programmed to rid cancer, could conclude that the best way to obliterate cancer is to exterminate humans who are genetically prone to the disease. Nick Bilton
  254. The world is now awash in data and we can see consumers in a lot clearer ways. Max Levchin
  255. The world is one big data problem. Andrew McAfee
  256. Theories come and go, but fundamental data always remain the same. Mary Leakey
  257. There are a lot of weapons that we’ve developed which we’ve pulled back from – biological weapons, chemical weapons, etc. This may be the case with armed autonomous robotics, where we ultimately pull back from them. Peter Singer
  258. There are an endless number of things to discover about robotics. A lot of it is just too fantastic for people to believe. Daniel H. Wilson
  259. There are definitely some academic statisticians who just don’t understand why what I do is statistics, but basically I think they are all wrong. What I do is fundamentally statistics. The fact that data science exists as a field is a colossal failure of statistics. To me, that is what statistics is all about. It is gaining insight from data using modelling and visualization. Data munging and manipulation is hard and statistics has just said that’s not our domain. Hadley Wickham
  260. There are lots of examples of routine, middle-skilled jobs that involve relatively structured tasks, and those are the jobs that are being eliminated the fastest. Those kinds of jobs are easier for our friends in the artificial intelligence community to design robots to handle them. They could be software robots, or they could be physical robots. Erik Brynjolfsson
  261. There is a silver lining on the bias issue. For example, say you have an algorithm trying to predict who should get a promotion. And say there was a supermarket chain that, statistically speaking, didn’t promote women as often as men. It might be easier to fix an algorithm than fix the minds of 10,000 store managers. Richard Socher
  262. There is no reason and no way that a human mind can keep up with an artificial intelligence machine by 2035. Gray Scott
  263. There is no true interpretation of anything; interpretation is a vehicle in the service of human comprehension. The value of interpretation is in enabling others to fruitfully think about an idea.
  264. There were 5 exabytes of information created between the dawn of civilization through 2003, but that much information is now created every 2 days. Eric Schmidt
  265. There’s a real danger of systematizing the discrimination we have in society [through AI technologies]. What I think we need to do — as we’re moving into this world full of invisible algorithms everywhere — is that we have to be very explicit, or have a disclaimer, about what our error rates are like. — Timnit Gebru
  266. There’s no one thing that defines AI. It’s more like a tapestry of modern intelligent technologies knit together in a strategic fashion that can then uplift and create a knowledge base that is automated — where you can extrapolate findings from there. John Frémont
  267. This is nothing. In a few years, that bot will move so fast you’ll need a strobe light to see it. Sweet dreams. Elon Musk
  268. Tomorrow’s cyberspace will be a vast parallel world that selects only the most promising things to try out in the real one. It will be like a new, global subconscious, the collective id of the human race. Pedro Domingos
  269. Torture the data, and it will confess to anything. Ronald Coase
  270. Ultimately, I hypothesize that technology will one day be able to recreate a realistic representation of us as a result of the plethora of content we’re creating converging with other advances in machine learning, robotics and large-scale data mining. Adam Ostrow
  271. Unfortunately, we have biases that live in our data, and if we don’t acknowledge that and if we don’t take specific actions to address it then we’re just going to continue to perpetuate them or even make them worse. Kathy Baxter
  272. We are already a cyborg. Because we are so well integrated with our phones and our computers.” Elon Musk
  273. We are drowning in information and starving for knowledge.
    We are entering a new world. The technologies of machine learning, speech recognition, and natural language understanding are reaching a nexus of capability. The end result is that we’ll soon have artificially intelligent assistants to help us in every aspect of our lives. Amy Stapleton
  274. We are manipulating machine intelligence, and in the process, we have forgotten to effectively utilize the true potential of our own mind, let alone focus on improving the mind. We are developing artificial intelligence and have forgotten to develop our own psyche. Abhijit Naskar, Let The Poor Be Your God
  275. We are moving slowly into an era where Big Data is the starting point, not the end. Pearl Zhu
  276. We can use algorithms as an aid to the systems of our society, like pilots use autopilot, but we must never let them run our society completely on their own – the day we do, will be the day we fall. Abhijit Naskar, The Gospel of Technology
  277. We cannot blithely assume that a superintelligence will necessarily share any of the final values stereotypically associated with wisdom and intellectual developments in humans-scientific curiosity, benevolent concern for others, spiritual enlightenment and contemplation, renunciation of material acquisitiveness, a taste for refined culture or for the simple pleasures in life, humility and selflessness, and so forth. Nick Bostrom
  278. We chose it because we deal with huge amounts of data. Besides, it sounds really cool. Larry Page
  279. We have some catching up to do in the area of machine learning and artificial intelligence. Klaus Froehlich
  280. We must address, individually and collectively, moral and ethical issues raised by cutting-edge research in artificial intelligence and biotechnology, which will enable significant life extension, designer babies, and memory extraction. Klaus Schwab
  281. We need machines, but more than that we need humans who know how to use those machines for the greater good. Abhijit Naskar, Wise Mating: A Treatise on Monogamy
  282. We should be thinking about the values these systems will hold. How will they make decisions if their decision-making is better than ours? Where does that come from? Do we want to give them human values? The same values that also gave us slavery, sexism, racism — some of the more appalling values we hold? Liesl Yearsley
  283. We should teach the students, as well as executives, how to conduct experiments, how to examine data, and how to use these tools to make better decisions. Dan Ariely
  284. We’re going to see tremendous occupational shifts. Some jobs will climb while others decline. So how do we enable and support workers as they transition from occupation to occupation? We don’t do that very well. I worry about the skill shifts. Skill requirements are going to be substantial and how do we get there quickly enough? James Manyika
  285. We’re seeing a kind of a Wild West situation with AI and regulation right now. The scale at which businesses are adopting AI technologies isn’t matched by clear guidelines to regulate algorithms and help researchers avoid the pitfalls of bias in datasets. We need to advocate for a better system of checks and balances to test AI for bias and fairness, and to help businesses determine whether certain use cases are even appropriate for this technology at the moment. Timnit Gebru
  286. Web rankings today are mostly a matter of machine learning. Prabhakar Raghavan
  287. What AI and machine learning allows you to do is find the needle in the haystack. Bob Work
  288. What we have is a data glut. Vernon Vinge
  289. What’s behind the driverless cars? Artificial Intelligence, or more specifically Deep Learning. Dave Waters
  290. When data volume swells beyond a human’s ability to discern the patterns in it—when a company is faced with truly big data—we need a new form of intelligence. GIS, infused with artificial intelligence, can help executives make better decisions. Mansour Raad (ESRI)
  291. When fake news meets artificial intelligence (AI), the risk is robots will lie, leaving us with fake intelligence and artificial news, or exactly where we are now. Jim Vibert
  292. When fervent human curiosity is abandoned to the power of AI, the intrinsic executive function, cognitive control, interrogation, and discord will rapidly weaken to the surrender of the narrative/reality created by AI. Tamie M. Santiago
  293. When people talk about the future of technology, especially artificial intelligence, they very often have the common dystopian Hollywood-movie model of us versus the machines. My view is that we will use these tools as we’ve used all other tools–to broaden our reach. And in this case, we’ll be extending the most important attribute we have, which is our intelligence. Ray Kurzweil
  294. When we have all data online it will be great for humanity. It is a prerequisite to solving many problems that humankind faces. Robert Cailliau
  295. When you apply computer science and machine learning to areas that haven’t had any innovation in 50 years, you can make rapid advances that seem really incredible. Bill Maris
  296. Where there is data smoke, there is a business fire. Thomas Redman
  297. Why give a robot an order to obey orders-why aren’t the original orders enough? Why command a robot not to do harm-Wouldn’t it be easier never to command it to harm in the first place? Does the universe contain a mysterious force of pulling entities towards malevolence, so that a positronic brain must be programmed to withstand it? Do intelligent beings inevitably develop an attitude problem? Now that the computers really have become smarter and more powerful, the anxiety has waned. Steven Pinker
  298. With data collection, ‘the sooner the better’ is always the best answer. Marissa Mayer
  299. Without a systematic way to start and keep data clean, bad data will happen. Donato Diorio
  300. Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway. Geoffrey Moore
  301. Without big data, you are blind and deaf and in the middle of a freeway. Geoffrey Moore
  302. Without data you’re just another person with an opinion. W. Edwards Deming
  303. You can have data without information, but you cannot have information without data. Daniel Keys Moran
  304. You can have data without information, but you cannot have information without data. Daniel Keys Moran
  305. You can use all the quantitative data you can get, but you still have to distrust it and use your own intelligence and judgment. Alvin Toffler
  306. You have to talk about ‘The Terminator’ if you’re talking about artificial intelligence. I actually think that that’s way off. I don’t think that an artificially intelligent system that has superhuman intelligence will be violent. I don’t think that it will disrupt our culture. Gray Scott

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