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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.
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.
AI is neither good nor evil. It's a tool. It's a technology for us to use.
AI is a tool. The choice about how it gets deployed is ours.
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.
AI is everywhere. It's not that big, scary thing in the future. AI is here with us.
We're making this analogy that AI is the new electricity. Electricity transformed industries: agriculture, transportation, communication, manufacturing.
If our era is the next Industrial Revolution, as many claim, AI is surely one of its driving forces.
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.
AI will probably most likely lead to the end of the world, but in the meantime, there'll be great companies.
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I believe in human-centered AI to benefit people in positive and benevolent ways.
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.
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.
There are three basic approaches to AI: Case-based, rule-based, and connectionist reasoning.
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.
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.
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.
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.
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!
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.
Education is one of the industry categories with a big potential for AI. And Coursera is already doing some of this work.
We want to take AI and CIFAR to wonderful new places, where no person, no student, no program has gone before.
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.
AI is creating tremendous economic value today.
I think that there are so many problems that we have as a society that AI can help us address.
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.
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