Ai Quotes

1. “Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last, unless we learn how to avoid the risks.”

2. “AI is a tool. The choice about how it gets deployed is ours.”

3. “AI will probably most likely lead to the end of the world, but in the meantime, there'll be great companies.”

4. “If our era is the next Industrial Revolution, as many claim, AI is surely one of its driving forces.”

5. “What all of us have to do is to make sure we are using AI in a way that is for the benefit of humanity, not to the detriment of humanity.”

6. “Software is eating the world, but AI is going to eat software.”

7. “It is difficult to think of a major industry that AI will not transform. This includes healthcare, education, transportation, retail, communications, and agriculture. There are surprisingly clear paths for AI to make a big difference in all of these industries.”

8. “Automation is no longer just a problem for those working in manufacturing. Physical labor was replaced by robots; mental labor is going to be replaced by AI and software.”

9. “AI as a tool in music-making is fine, but it's always going to be the humanity in music that makes people want to listen to it.”

10. “I do think there should be some regulations on AI.”

11. “AI might be a powerful technology, but things won't get better simply by adding AI.”

12. “AI is neither good nor evil. It's a tool. It's a technology for us to use.”

13. “And nowadays, the idea of AI is not really science fiction anymore - it's just science fact.”

14. “We're making this analogy that AI is the new electricity. Electricity transformed industries: agriculture, transportation, communication, manufacturing.”

15. “I imagine a world in which AI is going to make us work more productively, live longer, and have cleaner energy.”

16. “By their very nature, heuristic shortcuts will produce biases, and that is true for both humans and artificial intelligence, but the heuristics of AI are not necessarily the human ones.”

17. “AI will impact every industry on Earth, including manufacturing, agriculture, health care, and more.”

18. “Elon Musk is worried about AI apocalypse, but I am worried about people losing their jobs. The society will have to adapt to a situation where people learn throughout their lives depending on the skills needed in the marketplace.”

19. “I think of AI itself as a monster of capitalism.”

20. “The thing that's going to make artificial intelligence so powerful is its ability to learn, and the way AI learns is to look at human culture.”

21. “The real goal of AI is to understand and build devices that can perceive, reason, act, and learn at least as well as we can.”

22. “Building advanced AI is like launching a rocket. The first challenge is to maximize acceleration, but once it starts picking up speed, you also need to focus on steering.”

23. “The real problem is not the existential threat of AI. Instead, it is in the development of ethical AI systems.”

24. “As leaders, it is incumbent on all of us to make sure we are building a world in which every individual has an opportunity to thrive. Understanding what AI can do and how it fits into your strategy is the beginning, not the end, of that process.”

25. “Early AI was mainly based on logic. You're trying to make computers that reason like people. The second route is from biology: You're trying to make computers that can perceive and act and adapt like animals.”

26. “I definitely fall into the camp of thinking of AI as augmenting human capability and capacity.”

27. “AI - not so some kind of far-off thing. It's part of our lives now, from your phone to everything you do. It makes our lives easier in a lot of ways.”

28. “There's a great phrase, written in the '70s: 'The definition of today's AI is a machine that can make a perfect chess move while the room is on fire.' It really speaks to the limitations of AI. In the next wave of AI research, if we want to make more helpful and useful machines, we've got to bring back the contextual understanding.”

29. “We're at a point now where we've built AI tools to detect when terrorists are trying to spread content, and 99 percent of the terrorist content that we take down, our systems flag before any human sees them or flags them for us.”

30. “People are spending way too much time thinking about climate change, way too little thinking about AI.”

31. “Teaching is probably the most difficult of all current jobs for an AI to manage. If you don't believe that, then you have never truly taught.”

32. “We can build a much brighter future where humans are relieved of menial work using AI capabilities.”

33. “I often tell my students not to be misled by the name 'artificial intelligence' - there is nothing artificial about it. AI is made by humans, intended to behave by humans, and, ultimately, to impact humans' lives and human society.”

34. “To say that AI will start doing what it wants for its own purposes is like saying a calculator will start making its own calculations.”

35. “As AI becomes the new infrastructure, flowing invisibly through our daily lives like the water in our faucets, we must understand its short- and long-term effects and know that it is safe for all to use.”

36. “It's very clear that AI is going to impact every industry. I think that every nation needs to make sure that AI is a part of their national strategy. Every country will be impacted.”

37. “Despite all the hype and excitement about AI, it's still extremely limited today relative to what human intelligence is.”

38. “AI is everywhere. It's not that big, scary thing in the future. AI is here with us.”

39. “I think a lot of people don't understand how deep AI already is in so many things.”

40. “We have a large number of people working in AI. If you look around homes and the workplace, there are all these sensors in many devices. This is what people commonly call the Internet of Things.”

41. “A lot of movies about artificial intelligence envision that AI's will be very intelligent but missing some key emotional qualities of humans and therefore turn out to be very dangerous.”

42. “A calculator is a tool for humans to do math more quickly and accurately than they could ever do by hand; similarly, AI computers are tools for us to perform tasks too difficult or expensive for us to do on our own, such as analyzing large data sets or keeping up to date on medical research.”

43. “Having been trained as a computer scientist in the '90s, everybody knew that AI didn't work. People tried it. They tried neural nets, and none of it worked.”

44. “As a technologist, I see how AI and the fourth industrial revolution will impact every aspect of people's lives.”

45. “I want an AI-powered society because I see so many ways that AI can make human life better. We can make so many decisions more systematically or automate away repetitive tasks and save so much human time.”

46. “We see incredible opportunity to solve some of the biggest social challenges we have by combining high-performance computing and AI - such as climate change and more.”

47. “I believe in the future of AI changing the world. The question is, who is changing AI? It is really important to bring diverse groups of students and future leaders into the development of AI.”

48. “Beyond ensuring that people everywhere have access to mental health, virtual digital assistants can act as learning companions, using their insight into what motivates and inspires you, to help you study and learn. In this way, AI could be used to level the playing field in education and help narrow socio-economic gaps around the world.”

49. “There is a lot of work out there to take people out of the loop in things like medical diagnosis. But if you are taking humans out of the loop, you are in danger of ending up with a very cold form of AI that really has no sense of human interest, human emotions, or human values.”

50. “I think that, hundreds of years from now, if people invent a technology that we haven't heard of yet, maybe a computer could turn evil. But the future is so uncertain. I don't know what's going to happen five years from now. The reason I say that I don't worry about AI turning evil is the same reason I don't worry about overpopulation on Mars.”

51. “Even a cat has things it can do that AI cannot.”

52. “There's a new set of transformative technologies such as machine learning, AI, and virtual reality that will spawn another set of big tech franchises. But in terms of cultural impact, perhaps we are at peak Valley.”

53. “AI as a technology is complex, of course, but the capabilities and benefits of AI aren't hard to understand.”

54. “I do worry that organizations and even governments who own AI and data will have a competitive advantage and power, and those who don't will be left behind.”

55. “The day healthcare can fully embrace AI is the day we have a revolution in terms of cutting costs and improving care.”

56. “Blockchain is like the new big data or AI - too many people are using it as a buzzword and not focused solving a real problem. We like to call them Blockchain tourists!”

57. “I often think that woman is more free in Islam than in Christianity. Woman is more protected by Islam than by the faith which preaches monogamy. In AI Quran the law about woman is juster and more liberal.”

58. “There are many valid concerns about AI, from its impact on jobs to its uses in autonomous weapons systems and even to the potential risk of superintelligence.”

59. “There are three basic approaches to AI: Case-based, rule-based, and connectionist reasoning.”

60. “The tools and technologies we've developed are really the first few drops of water in the vast ocean of what AI can do.”

61. “AI is going to be extremely beneficial, and already is, to the field of cybersecurity. It's also going to be beneficial to criminals.”

62. “The biggest ethical challenge AI is facing is jobs. You have to reskill your workforce not just to create a wealthier society but a fairer one. A lot of call centre jobs will go away, and a radiologist's job will be transformed.”

63. “Most people in AI, particularly the younger ones, now believe that if you want a system that has a lot of knowledge in, like an amount of knowledge that would take millions of bits to quantify, the only way to get a good system with all that knowledge in it is to make it learn it. You are not going to be able to put it in by hand.”

64. “I see the 'z' in 'Humanz' as referring to robots, AI, programming, brainwashing, indoctrination. And it's a question to us: are we human, or are we humanz? Have we lost the ability to think for ourselves? Do we just believe what we're told? That's how I see it.”

65. “Ninety percent of video game AI really is pretty damn bad. I think that's actually why it's so much fun to shoot things. Because the AI is so bad and the characters are so annoying.”

66. “I will continue my work to shepherd in this important societal change… In addition to working on AI myself, I will also explore new ways to support all of you in the global AI community so that we can all work together to bring this AI-powered society to fruition.”

67. “If a typical person can do a mental task with less than one second of thought, we can probably automate it using AI either now or in the near future.”

68. “I could do a whole talk on the question of is AI dangerous.' My response is that AI is not going to exterminate us. It's a tool that's going to empower us.”

69. “Any movie that deals with an AI computer voice stands in the long, long shadow of '2001.'”

70. “A lot of the game of AI today is finding the appropriate business context to fit it in. I love technology. It opens up lots of opportunities. But in the end, technology needs to be contextualized and fit into a business use case.”

71. “Only by developing a deeper understanding of AI systems as they act in the world can we ensure that this new infrastructure never turns toxic.”

72. “Making AI more sensitive to the full scope of human thought is no simple task. The solutions are likely to require insights derived from fields beyond computer science, which means programmers will have to learn to collaborate more often with experts in other domains.”

73. “I worked with Steven Spielberg on 'AI,' and his level of preparation was extraordinary. He told me there was a time at the beginning when he was a bit more spontaneous and went over budget, and it absolutely wrecked his head. When you look at the power and assuredness of his movies, it makes sense that he works out so much in advance.”

74. “Secrecy is the underlying mistake that makes every innovation go wrong in Michael Crichton novels and films! If AI happens in the open, then errors and flaws may be discovered in time… perhaps by other, wary AIs!”

75. “AI can help solve some of the most difficult social and environmental challenges in areas like healthcare, disaster prediction, environmental conservation, agriculture, or cultural preservation.”

76. “For me it's very important to think about AI's impact in the world, and one of the most important missions is to democratize this technology.”

77. “Machine learning allows us to build software solutions that exceed human understanding and shows us how AI can innervate every industry.”

78. “I think that AI will lead to a low cost and better quality life for millions of people. Like electricity, it's a possibility to build a wonderful society. Also, right now, I don't see a clear path for AI to surpass human-level intelligence.”

79. “AI don't make a big thing out of my race. If you try to preach, people give you a little sympathy and then they want to get out of the way. So you don't preach; you tell the story.”

80. “We need to inject humanism into our AI education and research by injecting all walks of life into the process.”

81. “I co-founded Affectiva with Professor Rosalind W. Picard when we spun out of MIT Media Lab in 2009. I acted as Chief Technology and Science Officer for several years until becoming CEO mid-2016, one of a handful of female CEOs in the AI space.”

82. “People are going to use more and more AI. Acceleration is going to be the path forward for computing. These fundamental trends, I completely believe in them.”

83. “The inspiration for 'Ai Dil Mere' happened at 4:30 A.M. on a Sunday.”

84. “Now that neural nets work, industry and government have started calling neural nets AI. And the people in AI who spent all their life mocking neural nets and saying they'd never do anything are now happy to call them AI and try and get some of the money.”

85. “I believe in human-centered AI to benefit people in positive and benevolent ways.”

86. “I am super optimistic about the near-term prospects of AI because every time there is a technological disruption, it gives us the opportunity of making the world a little different.”

87. “We typically don't talk about something until we are about to ship. Not just for AI, but for anything: the comparison is generally what we are shipping compared to what someone else is talking about that is going to happen sometime in the future. A lot of people sell futures, I guess, is the way to think about it.”

88. “I just thought making machines intelligent was the coolest thing you could do. I had a summer internship in AI in high school, writing neural networks at National University of Singapore - early versions of deep learning algorithms. I thought it was amazing you could write software that would learn by itself and make predictions.”

89. “I think the world will just be better if AI is helping us. It will reduce the cost of goods, giving us good education, changing the way we run hospitals and the health-care system - there's just a long list of things.”

90. “Science is going to be revolutionized by AI assistants.”

91. “If we can make computers more intelligent - and I want to be careful of AI hype - and understand the world and the environment better, it can make life so much better for many of us. Just as the Industrial Revolution freed up a lot of humanity from physical drudgery I think AI has the potential to free up humanity from a lot of the mental drudgery.”

92. “I think that solving the job impact of AI will require significant private and public efforts. And I think that many people actually underestimate the impact of AI on jobs. Having said that, I think that if we work on it and provide the skill training needed, then there will be many new jobs created.”

93. “Every company has messy data, and even the best of AI companies are not fully satisfied with their data. If you have data, it is probably a good idea to get an AI team to have a look at it and give feedback. This can develop into a positive feedback loop for both the IT and AI teams in any company.”

94. “If someone has a fantastic biology background, he or she can contribute in AI and health care. AI has many aspects.”

95. “AI works really well when you couple AI in a raisin bread model. AI is the raisins, but you wrap it in a good user interface and product design, and that's the bread. If you think about raisin bread, it's not raisin bread without the raisins. Right? Then it's just bread, but it's also not raisin bread without the bread. Then it's just raisins.”

96. “AI will allow the soldier to act and think much more quickly. Whoever gets to AI first, I believe, will have dominance for many years afterward.”

97. “Technology could benefit or hurt people, so the usage of tech is the responsibility of humanity as a whole, not just the discoverer. I am a person before I'm an AI technologist.”

98. “The way AI complements people's work, it actually creates a lot of new jobs, a lot of demand. For example, if a automatic visual inspection technology helps spot flaws in manufacturing parts, I think that in some cases, this does create a lot more demand for people to come in to rework or to fix some of the parts that an AI has found to be flawed.”

99. “Even though chess isn't the toughest thing that computers will tackle for centuries, it stood as a handy symbol for human intelligence. No matter what human-like feat computers perform in the future, the Deep Blue match demands an indelible dot on all timelines of AI progress.”

100. “It's much more likely that an asteroid will strike the Earth and annihilate life as we know it than AI will turn evil.”

101. “I believe AI and its benefits have no borders. Whether a breakthrough occurs in Silicon Valley, Beijing, or anywhere else, it has the potential to make everyone's life better for the entire world.”

102. “Elon Musk, Stephen Hawking, and others have stated that they think AI is an existential risk. I disagree. I don't see a risk to humanity of a 'Terminator' scenario or anything of the sort.”

103. “There are very few industries that I know of - I mean, there are companies in fashion, in cosmetics. They're developing AI models and training them in the cloud in the beginning. If they're successful, they build their own datacenters and develop the software in their own datacenter, like Uber does.”

104. “Deep learning is a subfield of machine learning, which is a vibrant research area in artificial intelligence, or AI.”

105. “We want to take AI and CIFAR to wonderful new places, where no person, no student, no program has gone before.”

106. “If you were a computer and read all the AI articles and extracted out the names that are quoted, I guarantee you that women rarely show up. For every woman who has been quoted about AI technology, there are a hundred more times men were quoted.”

107. “AI cloud is just very, very nascent.”

108. “When people speak of creating superhumanly intelligent beings, they are usually imagining an AI project.”

109. “Note that I am not proposing that AI research be ignored or less funded.”

110. “There was a failure to recognize the deep problems in AI; for instance, those captured in Blocks World. The people building physical robots learned nothing.”

111. “When AI approximates Machine Intelligence, then many online and computer-run RPGs will move towards actual RPG activity. Nonetheless, that will not replace the experience of 'being there,' any more than seeing a theatrical motion picture can replace the stage play.”

112. “In the early 1990s we witnessed the emergence of a revitalized contemporary Chinese art world that began as a reaction against the government-approved Social Realist style. Zhang Xiaogang, Huang Yong Ping, Ai WeiWei, Yue Minjun, and Wang Guangyi were among the first group of artists to establish a movement that became known as Cynical Realism.”

113. “The conceptual artist Ai WeiWei illustrates the schizoid society that rapid change has produced - sometimes by reassembling Ming-style furniture into absurd and useless arrangements, or by carefully painting and antiquing a Coca-Cola logo on an ancient Chinese pot.”

114. “I admire Ai Weiwei for his art and his activism. His art is beautiful in form, and in function embodies the principles of populism and social consciousness I aspire to in my own practice.”

115. “I guess I didn't have a lot of friends, so that's what made videogames so important. They played back. I could do them myself. Solitaire can't surprise you; there's no AI. But videogames play back with you.”

116. “I looked at but was not allowed to touch Ai Weiwei's 'Sunflower Seeds' at the Tate. The film of making them was really moving.”

117. “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.”

118. “I'm a geek through and through. My last job at Microsoft was leading much of the search engine relevance work on Bing. There we got to play with huge amounts of data, with neural networks and other AI techniques, with massive server farms.”

119. “There's a reason the Chinese government is very concerned about Ai Weiwei. It's because he has all of these ingredients in his life that allow him to attract enormous attention across a very broad spectrum of the population.”

120. “On some level, there's a limit to what the government really worries about when it comes to a guy like Ai Weiwei, who's talking to a limited audience of people. He's talking to people who more or less already agree with him.”

121. “Ai Weiwei, who is both a widely admired conceptual artist and a fearless human-rights activist, has been on the bad side of the Chinese government for years.”

122. “'Sunspring,' the first known screenplay written by an AI, was produced recently. It is awesome. Awesomely awful. But it's worth watching all ten minutes of it to get a taste of the gap between a great screenplay and something an AI can currently produce.”

123. “Humans have 3 percent human error, and a lot of companies can't afford to be wrong 3 percent of the time anymore, so we close that 3 percent gap with some of the technologies. The AI we've developed doesn't make mistakes.”

124. “The main reason I backed DeepMind was strategic: I see my role as bridging the AI research and AI safety communities.”

125. “Giving the control over powerful AI to the highest bidder is unlikely to lead to the best world we can imagine.”

126. “In general, when it comes to AI, many of us subconsciously cling to the selfish notion that humanity is the endpoint of evolution.”

127. “The real use of AI in industry is generally for very narrow pattern-matchers - a better search algorithm, an object-detection algorithm, etc. These things are tools which we can use - for good or evil. But they're nothing like self-aware beings.”

128. “In the end, I expect we'll have AI that is better than we are at nearly every narrow task but which are still our tools, not our masters.”

129. “The development of exponential technologies like new biotech and AI hint at a larger trend - one in which humanity can shift from a world of constraints to one in which we think with a long-term purpose where sustainable food production, housing, and fresh water is available for all.”

130. “If we could communicate at the speed of thought, we can augment our creativity with the low-level stuff that AI and robots and 3-D printers and fab labs and all that do.”

131. “I know we've had AI films, but they've been quite specific in their scope. The scope of 'Humans' is a world set up where this technology is universally accepted. I haven't seen anything that's dealt with it in that multi-layered, every-layer-of-society way.”

132. “I imagine if you're one of those genius people working on AI, the desire to find out what's possible is presumably the driving factor, but I hope there are just as many people who are thinking about what we actually want. Just because something's possible it doesn't mean it's going to be good to us.”

133. “If you could train an AI to be a Buddhist, it would probably be pretty good.”

134. “AIs are only as good as the data they are trained on. And while many of the tech giants working on AI, like Google and Facebook, have open-sourced some of their algorithms, they hold back most of their data.”

135. “OpenAI is doing important work by releasing tools which promote AI to be developed in the open. Compute power is largely produced by NVIDIA and Intel and still relatively expensive but openly purchasable. Blockchains may be the key final ingredient by providing massive pools of open training data.”

136. “Because Facebook can't exist without AI, it needs all its engineers to build with it.”

137. “Someone sent me an article on AI that was written by Tim Urban on the website Wait but Why - that was kind of where I stuck my toes in the puddle, and I said, 'OK, I've gotta learn about this!' I felt like this is one of those things that our generation is going to have to answer for, eventually, and I just wanted to educate myself on it.”

138. “I'm not yet convinced that we will face an unemployment problem created by AI. There will certainly be some occupations eliminated - drivers of vehicles, many production jobs, etc. Whether this creates mass unemployment depends on how quickly this happens. If it happens overnight, it will be a huge disruption.”

139. “We are focusing on four vertical markets - utilities, public sector, large enterprises, and transportation. And, we are building a software business as well that includes analytics, security, IOT platforms, and AI.”

140. “As one of the leaders in the world for AI, I feel tremendous excitement and responsibility to create the most awesome and benevolent technology for society and to educate the most awesome and benevolent technologists - that's my calling.”

141. “Weaponized AI is probably one of the most sensitized topics of AI - if not the most.”

142. “It is deeply against my principles to work on any project that I think is to weaponize AI.”

143. “I don't know what would happen if the media starts picking up a theme that Google is secretly building AI weapons or AI technologies to enable weapons for the defense industry.”

144. “Governments can make a greater effort to encourage computer science education, especially among young girls, racial minorities, and other groups whose perspectives have been underrepresented in AI.”

145. “One thing ImageNet changed in the field of AI is suddenly people realized the thankless work of making a dataset was at the core of AI research.”

146. “Autonomous driving provides a scenario where AI can deliver smart tools for assistance in decision-making and planning to human drivers.”

147. “Besides publishing its own work, the Google AI China Center will also support the AI research community by funding and sponsoring AI conferences and workshops and working closely with the vibrant Chinese AI research community.”

148. “We all have a responsibility to make sure everyone - including companies, governments, and researchers - develop AI with diversity in mind.”

149. “More than 500 million years ago, vision became the primary driving force of evolution's 'big bang', the Cambrian Explosion, which resulted in explosive speciation of the animal kingdom. 500 million years later, AI technology is at the verge of changing the landscape of how humans live, work, communicate,and shape our environment.”

150. “Smart CEOs should be thinking about AI and its impact on their respective business.”

151. “The amount of money and industrial energy that has been put into accelerating AI code has meant that there hasn't been as much energy put into thinking about social, economic, ethical frameworks for these systems. We think there's a very urgent need for this to happen faster.”

152. “We need to build EQ in our AI systems because, otherwise, they're not going to be as effective as they were designed to be.”

153. “I grew up in the Middle East, and I worry that AI increases the socioeconomic divide as opposed to closing the gap.”

154. “I see that our emotional AI technology can be a core component of online learning systems - health wearables, even.”

155. “The field of AI has traditionally been focused on computational intelligence, not on social or emotional intelligence. Yet being deficient in emotional intelligence (EQ) can be a great disadvantage in society.”

156. “I spent a lot of time wondering about the future. I am curious: when we have AI, and it becomes more mainstream, how is that going to affect the way we communicate with each other?”

157. “Emotion AI will be ingrained in the technologies we use every day, running in the background, making our tech interactions more personalized, relevant, authentic, and interactive.”

158. “I am part of the World Economic Forum Global Council on Robotics and AI, and we spend a fair amount of our time together as a group discussing ethics, best practices, and the like.”

159. “With Emotion AI, we can inject humanity back into our connections, enabling not only our devices to better understand us, but fostering a stronger connection between us as individuals.”

160. “As co-founder and CEO of an AI company, I am used to there not being many women in the room, especially in AI.”

161. “Governments like China and the United Arab Emirates are investing heavily in AI and see it as a competitive advantage.”

162. “My own work falls into a subset of AI that is about building artificial emotional intelligence, or Emotion AI for short.”

163. “On the path to ubiquity of AI, there will be many ethics-related decisions that we, as AI leaders, need to make. We have a responsibility to drive those decisions, not only because it is the right thing to do for society but because it is the smart business decision.”

164. “We believe that one day Emotion AI will be ubiquitous, embedded on chips in our devices, ingrained into technology we use every day at home and at work.”

165. “Emotion AI uses massive amounts of data. In fact, Affectiva has built the world's largest emotion data repository.”

166. “Now with our Software Developer Kit (SDK), any developer can embed Emotion AI into the apps, games, devices, and digital experiences they are building, so that these can sense human emotion and adapt. This approach is rapidly driving more ubiquitous use of Emotion AI across a number of different industries.”

167. “I am often asked what the future holds for Emotion AI, and my answer is simple: it will be ubiquitous, engrained in the technologies we use every day, running in the background, making our tech interactions more personalized, relevant, authentic and interactive.”

168. “The popular dystopian vision of AI is wrong for one simple reason: it equates intelligence with autonomy. That is, it assumes a smart computer will create its own goals and have its own will and will use its faster processing abilities and deep databases to beat humans at their own game.”

169. “In the past, much power and responsibility over life and death was concentrated in the hands of doctors. Now, this ethical burden is increasingly shared by the builders of AI software.”

170. “If you believe everything you read, you are probably quite worried about the prospect of a superintelligent, killer AI.”

171. “An AI utopia is a place where people have income guaranteed because their machines are working for them. Instead, they focus on activities that they want to do, that are personally meaningful like art or, where human creativity still shines, in science.”

172. “I'm trying to use AI to make the world a better place. To help scientists. To help us communicate more effectively with machines and collaborate with them.”

173. “Scientists need the infrastructure for scientific search to aid their research, and they need it to offer relevancy and ways to separate the wheat from the chaff - the useful from the noise - via AI-enabled algorithms. With AI, such an infrastructure would be able to identify the exact study a scientist needs from the tens of thousands on a topic.”

174. “I think that there are so many problems that we have as a society that AI can help us address.”

175. “Understanding of natural language is what sometimes is called 'AI complete,' meaning if you can really do that, you can probably solve artificial intelligence.”

176. “I think it's important for us to have a rule that if a system is really an AI bot, it ought to be labeled as such. 'AI inside.' It shouldn't pretend to be a person. It's bad enough to have a person calling you and harassing you, or emailing you. What if they're bots? An army of bots constantly haranguing you - that's terrible.”

177. “I became interested in AI in high school because I read 'Goedel, Escher, Bach,' a book by Douglas Hofstader. He showed how all their work in some ways fit together, and he talked about artificial intelligence. I thought 'Wow, this is what I want to be doing.'”

178. “My dream is to achieve AI for the common good.”

179. “The truth is that behind any AI program that works is a huge amount of, A, human ingenuity and, B, blood, sweat and tears. It's not the kind of thing that suddenly takes off like 'Her' or in 'Ex Machina.'”

180. “It's hard for me to speculate about what motivates somebody like Stephen Hawking or Elon Musk to talk so extensively about AI. I'd have to guess that talking about black holes gets boring after awhile - it's a slowly developing topic.”

181. “I'm not a big fan of self-driving cars where there's no steering wheel or brake pedal. Knowing what I know about computer vision and AI, I'd be pretty uncomfortable with that. But I am a fan of a combined system - one that can brake for you if you fall asleep at the wheel, for example.”

182. “When I went to AI New England in Boston, I used to do my mixtapes, and honestly, if you look back at any of my mixtapes, every single mixtape tells a story.”

183. “Look, when AIs come up, they're not going to be like us. A self-aware, sentient AI is not going to be like a human.”

184. “Now the playbook is we build AI tools to go find these fake accounts, find coordinated networks of inauthentic activity, and take them down; we make it much harder for anyone to advertise in ways that they shouldn't be.”

185. “Baidu's AI is incredibly strong, and the team is stacked up and down with talent; I am confident AI at Baidu will continue to flourish. After Baidu, I am excited to continue working toward the AI transformation of our society and the use of AI to make life better for everyone.”

186. “I am looking into quite a few ideas in parallel and exploring new AI businesses that I can build. One thing that excites me is finding ways to support the global AI community so that people everywhere can access the knowledge and tools that they need to make AI transformations.”

187. “The success, or failure, of a CEO to implement AI throughout the organization will depend on them hiring a leader to build an organization to do this. In some companies, CIOs or chief data officers are playing this role.”

188. “There are two companies that the AI Fund has invested in - Woebot and Landing AI - and the AI Fund has a number of internal teams working on new projects. We usually bring in people as employees, work with them to turn ideas into startups, then have the entrepreneurs go into the startup as founders.”

189. “The big AI dreams of making machines that could someday evolve to do intelligent things like humans could - I was turned off by that. I didn't really think that was feasible when I first joined Stanford.”

190. “Education is one of the industry categories with a big potential for AI. And Coursera is already doing some of this work.”

191. “One of the things that Baidu did well early on was to create an internal platform for deep learning. What that did was enable engineers all across the company, including people who were not AI researchers, to leverage deep learning in all sorts of creative ways - applications that an AI researcher like me never would have thought of.”

192. “AI is witnessing an early innings in India. It has a thoughtful government, and India can race ahead if it chooses to.”

193. “I thought the best place to advance the AI mission is at Baidu.”

194. “As the founding lead of the Google Brain team, former director of the Stanford Artificial Intelligence Laboratory, and now overall lead of Baidu's AI team of some 1,200 people, I've been privileged to nurture many of the world's leading AI groups and have built many AI products that are used by hundreds of millions of people.”

195. “Many researchers are exploring other forms of AI, some of which have proved useful in limited contexts; there may well be a breakthrough that makes higher levels of intelligence possible, but there is still no clear path yet to this goal.”

196. “One of the things Baidu did well early on was to create an internal platform that made it possible for any engineer to apply deep learning to whatever application they wanted to, including applications that AI researchers like me would never have thought of.”

197. “I'm super excited about health care; I'm super excited about education - major industries where AI can play a big role.”

198. “I think the Indian AI ecosystem is growing rapidly. A lot of Indian entrepreneurs reach out to me seeking feedback about startups and products. And some of them have very interesting business ideas.”

199. “India has a large base of tech talent, and I hope that a lot of AI machine learning education online will allow Indian software professionals to break into AI.”

200. “In healthcare, we are beginning to see that AI can read the radiology images better than most radiologists. In education, we have a lot of data, and companies like Coursera are putting up a lot of content online.”

201. “Machine learning is the most popular course for people from India. There is a window of time when India can embrace and capture a large fraction of the AI opportunity. But it will not remain open for ever.”

202. “Silicon Valley and Beijing are the leading hubs of AI, followed by the U.K. and Canada. I am seeing a lot of excitement in India, going by the number of people who are taking Coursera courses on AI.”

203. “I've been to so many manufacturing plants. I've yet to walk into one where I did not think AI solutions wouldn't help.”

204. “Even companies like Baidu and Google, which have amazing AI teams, cannot do all the work needed to get us to an AI-powered society. I thought the best way to get us there would be creating courses to welcome more people to deep learning.”

205. “Beyond helping other people build AI systems with Deeplearning.ai, I also hope to build some AI systems myself!”

206. “When you go to Japan, there is such a talent shortage that the debate about AI taking jobs is almost non-existent. The debate is, how can we automate this so we can get all the work done?”

207. “I joined Baidu in 2014 to work on AI. Since then, Baidu's AI group has grown to roughly 1,300 people, which includes the 300-person Baidu Research. Our AI software is used every day by hundreds of millions of people.”

208. “If you have a lot of data and you want to create value from that data, one of the things you might consider is building up an AI team.”

209. “AI is creating tremendous economic value today.”

210. “I think the next massive wave of value creation will be when you can get a manufacturing company or agriculture devices company or a health care company to develop dozens of AI solutions to help their businesses.”

211. “AI has been making tremendous progress in machine translation, self-driving cars, etc. Basically, all the progress I see is in specialised intelligence. It might be hundreds or thousands of years or, if there is an unexpected breakthrough, decades.”

212. “One of my relatives had been asking me on how he could break into AI. For him to learn AI - deep-learning, technically - a lot of facts exist on the Internet, but it is difficult for someone to go and read the right combination of research papers and find blog posts and YouTube videos and figure out themselves on how to learn deep-learning.”

213. “Deep-learning will transform every single industry. Healthcare and transportation will be transformed by deep-learning. I want to live in an AI-powered society. When anyone goes to see a doctor, I want AI to help that doctor provide higher quality and lower cost medical service. I want every five-year-old to have a personalised tutor.”

214. “For us, it's about having the game react to the player as much as possible. There's ways you can do that with technology, graphics, AI - we're doing some VR stuff right now - and so it's what we think is great about not just our games, but what's great about video games - how are they better than any other form of entertainment?”

215. “Making the AI better in a video game is not like making the AI better in, say, a chess game. Making it better in terms of acting ability - we're basically improving its acting so that the user can have more fun.”

216. “'Indigo Prophecy' already brought a lot of new features to the traditional adventure genre, including the Action system, MultiView, Bending Stories, etc. 'Heavy Rain' will include features like advanced physics and AI, realistic characters and living environments.”

217. “The impending destruction of jobs due to automation and AI technologies is definitely increasing the need for - and speed at which - we have to implement big solutions, such as a universal basic income.”

218. “The government adoption of AI will not bring about a government being run by robots. Instead, our government will continue to be run by people, with help from algorithms dramatically improving government services for all Americans.”

219. “The government should urgently speed its adoption of AI to reduce the amount of time individuals spend unnecessarily interacting with the government and increase the speed of government response to citizens.”

220. “While introducing AI into the government will save money through optimizing processes, it should also be deployed to eliminate waste, fraud, and abuse.”

221. “Not only can AI improve civilian safety, it will vastly improve battlefield logistics, creating better scenarios for men and women in uniform.”

222. “As we consider the implications of AI, there is a bright future ahead for countries that invest and participate.”

223. “As we continue to apply AI to new fields, ethical dilemmas will arise and the answers will not be clearly defined.”

224. “There is a scenario where AI may keep U.S. soldiers off the battlefield entirely, by using AI as a strategic advantage to prevent conflict or using it to find the critical piece of information within surveillance footage.”

225. “And I think the greatest danger that AI poses isn't so much these anthropomorphic beings who look like us and are beguiling are going to fool us. It's the fact that a intelligence without a body or corporeal form will fool us into trusting it with data, which we seem to think is… it has no repercussions.”

226. “It's important to engage with governments around the world in how they're thinking about AI - to help inform them.”

227. “A 'Starcraft' showdown between humans and AI itself will be interesting.”

228. “We really believe that long-term, the way AI will drive is similar to the way humans drive - we don't break the problem down into objects and vision and localization and planning. But how long it will take us to get there is questionable.”

229. “The AI technology will keep you out of harm's way. That is why we believe in an AI car that drives for you.”

230. “In many areas, the E.U. regulates to help the worst sort of giant corporate looters defending their position against entrepreneurs. Post-Brexit Britain will be outside this jurisdiction and able to make faster and better decisions about regulating technology like genomics, AI and robotics.”

231. “What AI was able to do at his size, with the teams that he had was remarkable, you can't take that from him.”

232. “I don't think there's a particular technology that will set the trajectory for us moving forward. We don't want to be one of the companies that say AI is the next big thing, let's go build an AI application for Robinhood. That might not work. It might be awkward.”

233. “Fashion data was used to build AI models to help Steve Bannon build his insurgency and build the alt-right. We used weaponized algorithms. We used weaponized cultural narratives to undermine people and undermine the perception of reality. And fashion played a big part in that.”