AI Quotes

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.

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.

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.

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

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.

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.

I do think there should be some regulations on AI.

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.

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.

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

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.

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

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.

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

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.

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.

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.

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

Any movie that deals with an AI computer voice stands in the long, long shadow of ‘2001.’

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.

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

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.

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.

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.

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

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

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.

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.

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.

AI is creating tremendous economic value today.

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

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.

AI cloud is just very, very nascent.

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.

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

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.’

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.

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.

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

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.

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

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.

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.

‘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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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

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.

My dream is to achieve AI for the common good.

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.

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.

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

‘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.

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.

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.

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.

AI is going to be extremely beneficial, and already is, to the field of cybersecurity. It’s also going to be beneficial to criminals.

The inspiration for ‘Ai Dil Mere‘ happened at 4:30 A.M. on a Sunday.

I think of AI itself as a monster of capitalism.

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.

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.

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.

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.

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.

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.

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.

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!

AI is neither good nor evil. It’s a tool. It’s a technology for us to use.

And nowadays, the idea of AI is not really science fiction anymore – it’s just science fact.

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?

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.

It’s important to engage with governments around the world in how they’re thinking about AI – to help inform them.

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

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.

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.

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.

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