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.
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.
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.
Giving the control over powerful AI to the highest bidder is unlikely to lead to the best world we can imagine.
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.
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'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.
As we consider the implications of AI, there is a bright future ahead for countries that invest and participate.
We can build a much brighter future where humans are relieved of menial work using AI capabilities.
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 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.
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.
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.
My dream is to achieve AI for the common good.
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.
Governments like China and the United Arab Emirates are investing heavily in AI and see it as a competitive advantage.
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.
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.
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.
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.