Popular Artificial intelligence terms (e.g. deep learning, machine learning, neural networks, strong AI) defined. From Science / American Association for the Advancement of Science (AAAS).
"This is a dictionary of algorithms, algorithmic techniques, data structures, archetypal problems, and related definitions." From NIST (National Institute of Standards and Technology).
15 min. video (a "TED talk"). "In this riveting, funny talk, Kevin Slavin shows how modern algorithms determine stock prices, espionage tactics, even the movies you watch. But, he asks: If we depend on complex algorithms to manage our daily decisions -- when do we start to lose control?"
10 min. video. "Adaptive, intelligent, and consistent, algorithms are emerging as the ultimate app for everything from matching consumers to products to assessing medical diagnoses. Vishal Sikka shares his appreciation for the algorithm, charting both its inherent beauty and its growing power."
7 min. video with multilingual text transcript available. "In a remarkable live demo, Redmon shows off this important step forward for applications like self-driving cars, robotics and even cancer detection."
17 min. video with multilingual text transcript available. "Machine intelligence is here, and we're already using it to make subjective decisions. But the complex way AI grows and improves makes it hard to understand and even harder to control. In this cautionary talk, techno-sociologist Zeynep Tufekci explains how intelligent machines can fail in ways that don't fit human error patterns -- and in ways we won't expect or be prepared for."
12 min. video with multilingual text transcript available. "Brute computing force alone can't solve the world's problems. Data mining innovator Shyam Sankar explains why solving big problems (like catching terrorists or identifying huge hidden trends) is not a question of finding the right algorithm, but rather the right symbiotic relationship between computation and human creativity."
19 min. video with multilingual text transcript available. "What happens when we teach a computer how to learn? Technologist Jeremy Howard shares some surprising new developments in the fast-moving field of deep learning, a technique that can give computers the ability to learn Chinese, or to recognize objects in photos, or to help think through a medical diagnosis."
See also these other TED links for more related talks/articles/transcripts:
"Formed by the following non-governmental organizations (NGOs) at a meeting in New York on 19 October 2012 and launched in London in April 2013, the Campaign to Stop Killer Robots is an international coalition working to preemptively ban fully autonomous weapons."
"A computer taking on the best human contestants on Jeopardy!? - the prospect is perhaps even more astonishing than when IBM's Deep Blue computer challenged the world's top chess player in 1997 (and won). NOVA recently asked three experts on artificial intelligence about Watson, its capabilities, and its implications beyond the game show." Jan. 2011.
"We're on the cusp of a new industrial revolution, one powered by intelligent algorithms and sophisticated robots. Are we ready for our automated future?" 2013-2017.
"Machines are everywhere. They run our factory assembly lines and make our coffee. But humanoid robots - machines with human-like capabilities - have long been the stuff of science fiction. Until now. Fueled by an ambitious DARPA challenge, the race is on to design a robot that can replace humans in disaster relief situations. Follow the robots and the engineers that program them as they strive to make their way out of the lab and into the real world. But how capable are they, really? How close are we to a future where humanoid robots are part of our everyday lives? And what will the future look like with robots that can do a human's job? NOVA investigates the cutting-edge technologies that are advancing robotics - and the enormous challenges that robots still face." Dec. 2017.
"Experts say the rise of artificial intelligence will make most people better off over the next decade, but many have concerns about how advances in AI will affect what it means to be human, to be productive and to exercise free will." From Pew Research. Please see this link for their complete report (PDF).
Audio. "Algorithms are the powerful mathematical tools which shape so much of modern life, from the news which appears in our timelines to the adverts which pop up on our computer. But with algorithms now assessing CVs for jobs, or mortgage applications, the need to understand what they do, and if necessary challenge them is greater than ever before. So how do we exert legal or democratic control over the Unaccountable Algorithm? Emily Bell investigates" From BBC Radio.
"Americans express broad concerns over the fairness and effectiveness of computer programs making important decisions in people's lives." From Pew Research Center. Published November 2018.
"Founded in 1979, the Association for the Advancement of Artificial Intelligence (AAAI) (formerly the American Association for Artificial Intelligence) is a nonprofit scientific society devoted to advancing the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines. AAAI aims to promote research in, and responsible use of, artificial intelligence. AAAI also aims to increase public understanding of artificial intelligence, improve the teaching and training of AI practitioners, and provide guidance for research planners and funders concerning the importance and potential of current AI developments and future directions."
