Top 310 AI Quotes & Sayings

AI's ability to recognize visual categories and images is now pretty close to what human beings can manage, and probably better than a lot of people's, actually. AI can have more knowledge of detailed categories, like animals and so on.

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.

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

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.

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

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.

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.

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.

The aikido term ma ai, which means "space harmony" ("ai" is Chinese for "love," and it translates into Japanese as harmonious connection) refers to the optimal distance point, where you're close enough to connect well and far enough to enjoy your own space.

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.

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.

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.

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.

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.

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.

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

I am tempted to say that a doctorate in AI would be negatively useful, but I am not one to hold someone’s reckless youth against them – just because you acquired a doctorate in AI doesn’t mean you should be permanently disqualified.

Somehow, AI is playing an important role of breaking up the ice of complacency. We have a comfortable life, we just don't want to take risks. AI is threatening too many comfortable jobs to make people think about taking risks again.

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.

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

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.

Artificial intelligence uses a complex set of rules - algorithms - to get to a conclusion. A computer has to calculate its way through all those rules, and that takes a lot of processing. So AI works best when a small computer is using it on a small problem - your car's anti-lock brakes are based on AI. Or you need to use a giant computer on a big problem - like IBM using a room-size machine to compete against humans on Jeopardy in 2011.

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.

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

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.

Google or other search engines are examples of AI, and relatively simple AI, but they're still AI. That plus an awful lot of hardware to make it work fast enough.

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.

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.

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

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.

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

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.

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.

Ne reprenez, dame, si j'ai aime , Si j'ai senti mille torches ardentes, Mille travaux, mille douleurs mordantes, Si, en pleurant, j'ai mon temps consume . Do not blame me, madam, if I loved, If I felt one thousand burning torches, One thousand labours, or one thousand scathing pains, If, in crying, I spent all my time.

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.

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.

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.

'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.

So here I was in the middle of the AI world-not just hanging out there but totally dependent on the people if I expected to have a job once I graduated-and yet, day by day, AI started to seem insane. This is also what I do: I get myself trapped inside of things that seem insane.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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

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.

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.

What AI could do is essentially be a power tool that magnifies human intelligence and gives us the ability to move our civilization forward. It might be curing disease, it might be eliminating poverty. Certainly it should include preventing environmental catastrophe. If AI could be instrumental to all those things, then I would feel it was worthwhile.

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.

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

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.

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

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.