The future of AI is already here: AI and its "cousin technologies" are starting to permeate our lives and societies. As it gains insight and decision power, AI needs to empower the dynamically evolving values and growth of humans and societies in turn. Rather than getting caught up in dystopian futures, we should harness AI's vast potential for positive transformative change responsibly. To that end, we need a new global multi-stakeholder institution organizing a representative congress to negotiate a modern, digital Magna Carta and to govern AI transparently within and across borders. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at (More)

Stuart Russell is a professor of computer science, director of the Center for Intelligent Systems, and holder of the Smith-Zadeh Chair in Engineering at the University of California, Berkeley. He is an adjunct professor of neurological surgery at the University of California, San Francisco. (More)

Stuart Russell explores methods by which we might be able to ensure that AI is robust and beneficial. (More)

With AI developing at the hands of humanity, will the day come when it will start to evolve on its own? Stuart Russell, Professor of Computer Science and Smith-Zadeh Professor in Engineering, University of California, Berkeley, explains how singularity may change the world as we know it. (More)

The Centre for the Study of Existential Risk is delighted to host Professor Stuart J. Russell (University of California, Berkeley) for a public lecture on Friday 15th May 2015. (More)

Perhaps the most nightmarish, dystopian film of 2017 didn't come from Hollywood. Autonomous weapons critics, led by a college professor, put together a horror show.
It's a seven-minute video, a collaboration between University of California-Berkeley professor Stuart Russell and the Future of Life Institute that shows a future in which palm-sized, autonomous drones use facial recognition technology and on-board explosives to commit untraceable massacres.
The film is the researchers' latest attempt to build support for a global ban on autonomous weapon systems, which kill without meaningful human control.
They released the video to coincide with meetings the United Nations' Convention on Conventional Weapons is holding this week in Geneva, Switzerland, to discuss autonomous weapons.
"We have an opportunity to prevent the future you just saw, but the window to act is closing fast," said Russell, an artificial intelligence professor, at the film's conclusion. "Allowing machines to choose to kill humans will be devastating to our security and freedom."
In the film, thousands of college students are killed in attacks at a dozen universities after drones swarm campuses. Some of the drones first attach to buildings, blowing holes in walls so other drones can enter and hunt down specific students. A similar scene is shown at the U.S. Capitol, where a select group of Senators were killed.
Such atrocities aren't possible today, but given the trajectory of tech's development, that will change in the future. The researchers warn that several powerful nations are moving toward autonomous weapons, and if one nation deploys such weapons, it may trigger a global arms race to keep up. (More)

AI algorithms make important decisions about you all the time -- like how much you should pay for car insurance or whether or not you get that job interview. But what happens when these machines are built with human bias coded into their systems? Technologist Kriti Sharma explores how the lack of diversity in tech is creeping into our AI, offering three ways we can start making more ethical algorithms. (More)

As researchers and engineers, our goal is to make machine learning technology work for everyone. (More)

This video is part of a UNESCO series ensuring multi-stakeholder voices on artificial intelligence and its impact on the domains of UNESCO’s competence. To learn more about UNESCO’s work on artificial intelligence, click here: (More)

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When Geoffrey Hinton, a researcher at Google and professor emeritus at the University of Toronto, began his work in deep learning in the 1970s, he was told he would spend his life toiling away in obscurity. Deep learning is a form of artificial intelligence that mimics the human brain. Now, four decades later, his research is revolutionizing AI. He joins The Agenda to discuss his work and what kept him going. (More)

Artificial Intelligence is by far the most important Technology of our era. AI is about to transform society, and I think it’s very important for people to understand the basics of it. In this video, I explain you the differences between Artificial Intelligence, Machine Learning and Deep Learning. (More)

The Chinese state run news agency Xinhua recently revealed the first Artificial Intelligence news anchor. They're now able to generate video of a newscaster using a model trained on real newscaster data and use it to disseminate information 24/7. When I saw this, I knew it was time to start studying China's role in the AI revolution in-depth. In this video, I'll cover China's power structure, generative adversarial networks, its startup scene, Confucianism, the social credit scoring system, algorithmic policing, surveillance, privacy, autonomous weapons, and convolutional neural networks. A lot of different topics to cover, but I hope this video provides a coherent narrative around the use of AI in China and how it plays into the global AI community. Enjoy! (More)

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This video on Artificial intelligence gives you an introduction to artificial intelligence with futuristic applications of AI. It also tells you how to implement artificial intelligence using deep neural networks. (More)

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This video highlights debates and discussions regarding the future impact of artificial intelligence! (More)

The future of business is here! WIRED and Amazon Web Services take a deep dive into the world of AI and deep learning to show how significant and impactful they can be for businesses. Learn more about Machine Learning on AWS at - (More)

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Artificial Intelligence is our best bet to understand the nature of our mind, and how it can exist in this universe. (More)

If you're interested in licensing this or any other Big Think clip for commercial or private use, contact our licensing partner Executive Interviews: (More)

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The world is in a period of revolutionary digital transformation that is driven by artificial intelligence and machine learning. But as AI’s uses become more widespread, an important question arises: who will be building these technologies? Currently, there is a diversity crisis in engineering – women and people of color make up only a small percentage of computer scientists, and their numbers appear to be even lower in the AI field. What are the implications if this massively important technology is fundamentally biased? And what can we do to bridge the gap? Eva Prakash is a rising senior and an advocate of diversity in artificial intelligence. She is the founder and CEO of Girl 2.0, a 501(c)3 nonprofit organization in California that is dedicated to closing the gender gap in technology by providing free computer science education to girls and other underrepresented minorities in STEM. The organization is focused on debunking the myth that coding is only for “white guys in hoodies” by rebranding what it means to be a computer scientist. Currently, Eva is a student researcher in computational biology at Stanford University, where she works on the interpretability of machine learning models for genomics. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at (More)

Peter Bock discusses the evolution of Artificial Intelligence and states his intention of creating the world's first artificial being. He shows the capabilities of the current system, known as ALISA, in creating works of art. (More)

This is footage from a workshop I ran for the European Commission (July, 2018, Brussels) on Neuroscience, Artificial Intelligence, and the future of education. (More)

Sarah Jenna Ph.D. is a Professor in Genomics at the University of Quebec in Montreal and CEO and co-Founder of My Intelligent Machines, a company developing an artificial intelligence-powered platform to help life-scientists find, share and analyse their omic data. Sarah Jenna is a Professor in Genomics at the University of Quebec in Montreal (UQAM) and CEO and co-Founder of My Intelligent Machines (MIMs;, a company developing artificial Intelligence-powered platform to help life-scientists find, share and analyse their omic (genomic, proteomic, metabolomic...) data. She received her Ph.D. degree in cell biology and microbiology in 1998 from the University Aix-Marseille in France. She was a post-doctoral fellow at McGill University in cell signaling, genomics and proteomics. The research program she carries out in her laboratory (, develops novel integrative genomic strategies to better understand functional interactions between genes and the plasticity of signaling programs controlling epithelial morphogenesis in nematodes and humans. She is one of the rare woman scientists with a university position becoming CEO of a high-technology company. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at (More)

Matt Zeiler sits down with GLG (Gerson Lehrman Group) to discuss advances in computer vision and how AI enables your computer to learn what's inside an image. (More)

Jonathan Penn compares AI to Central Park and gives some ideas of how we can collectively handle the future of AI. He recognizes that the development of AI has and will continue to raise many new challenges. However, he shows how this is the right time to develop it and he gives some guidelines. (More)

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Social VIP Colin Sumter sat down with IBM's Rich Rodgers at the recent IBM Vision conference to discuss the difference between artificial intelligence and augmented intelligence. Learn more: (More)