If our era is the next Industrial Revolution, as many claim, AI is surely one of its driving forces.
Fei-Fei Li
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.
The real existential challenge is to live up to your fullest potential, along with living up to your intense sense of responsibility and to be honest to yourself about what you want.
As a technologist, I see how AI and the fourth industrial revolution will impact every aspect of people's lives.
I believe in human-centered AI to benefit people in positive and benevolent ways.
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.
I imagine a world in which AI is going to make us work more productively, live longer, and have cleaner energy.
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.
What makes humans unique is that evolution gave us the most incredible and sophisticated vision system, motor system, and language system, and they all work together.
Just like the brain consists of billions of highly connected neurons, a basic operating unit in a neural network is a neuron-like node. It takes input from other nodes and sends output to others.
I'm a go-getter. It's in my DNA. If I spend a lot of time lamenting on the difficulties, then it could be distracting.
We need to inject humanism into our AI education and research by injecting all walks of life into the process.
The only path to build intelligent machines is to enable it with powerful visual intelligence, just like what animals did in evolution.
I really believe there are no borders for science.
Even a cat has things it can do that AI cannot.
I love Silicon Valley, but there is a dominant voice of, 'Tech is cool. Tech is geeky. Tech is a guy with a hoodie.'
The tools and technologies we've developed are really the first few drops of water in the vast ocean of what AI can do.
We all have a responsibility to make sure everyone - including companies, governments, and researchers - develop AI with diversity in mind.
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.
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.
AI will impact every industry on Earth, including manufacturing, agriculture, health care, and more.
It is deeply against my principles to work on any project that I think is to weaponize AI.
Smart CEOs should be thinking about AI and its impact on their respective business.
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.
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.
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.
Autonomous driving provides a scenario where AI can deliver smart tools for assistance in decision-making and planning to human drivers.
No one tells a child how to see, especially in the early years. They learn this through real-world experiences and examples.
Yes, we have prototyped cars that can drive by themselves, but without smart vision, they cannot really tell the difference between a crumpled paper bag on the road, which can be run over, and a rock that size, which should be avoided.
When eyes were first developed in animals, suddenly animal life becomes proactive.
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.
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.
We will not only use the machines for their intelligence, we will also collaborate with them in ways that we cannot even imagine.
AI is everywhere. It's not that big, scary thing in the future. AI is here with us.
AI cloud is just very, very nascent.
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.
We talk a lot about building benevolent technology. Our technology reflects our values.
The day healthcare can fully embrace AI is the day we have a revolution in terms of cutting costs and improving care.
If someone has a fantastic biology background, he or she can contribute in AI and health care. AI has many aspects.
From the day an idea is conceptualized to the day the technology is built, carried out, and regulated, it's important to have that human awareness.
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.
When I was a graduate student in computer science in the early 2000s, computers were barely able to detect sharp edges in photographs, let alone recognize something as loosely defined as a human face.
The paradigm shift of the ImageNet thinking is that while a lot of people are paying attention to models, let's pay attention to data. Data will redefine how we think about models.
As for me, I'm an optimist.
Understanding vision and building visual systems is really understanding intelligence.
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.
I didn't make a lot of friends in high school. It's a cruel time, and I was very geeky.
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.
There is great potential to use computer vision technology in a constructive and benevolent way.
Weaponized AI is probably one of the most sensitized topics of AI - if not the most.
