César Hidalgo discusses his new book “How Humans Judge Machines”, in which he compares people’s reactions to actions performed by humans and machines. Using data collected in dozens of experiments, this book reveals the biases that permeate human-machine interactions.
Are there conditions in which we judge machines unfairly? Is our judgment of machines affected by the moral dimensions of a scenario? Is our judgment of machines correlated with demographic factors such as education or gender? César Hidalgo and colleagues use hard science to take on these pressing technological questions. Using randomized experiments, they create revealing counterfactuals and build statistical models to explain how people judge artificial intelligence and whether they do it fairly.
Learn more about the book here: https://www.judgingmachines.com/.
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A novel written by artificial intelligence is shortlisted for a literary prize. Google software beats a human opponent at Go, one of the most complex board games in the world. Self-driving cars recognize images and then make decisions. These are just some of the extraordinary accomplishments based on artificial intelligence that we have witnessed in the past few years. But there are many scientists who are pushing for a more cautious approach to how we move forward on machine intelligence. They say that we are not far off from developing superintelligent machines whose IQ far surpasses that of humans and who don’t come with an off switch — with seriously negative consequences for humanity. These scientists argue that we can prevent this loss of control but we need to act now by making sure algorithms ensure that benevolence and human mastery are foundational pillars. Critics say that this view of superintelligence highly overrates the abilities of machines today and in the future, and deeply underestimates the incredible powers of human thinking. They say that AI is nowhere close to matching the human talent for understanding and generalization — and may never come close. Unsubstantiated fears of a superintelligent future are getting in the way of resolving one of the riddles of human existence – human intelligence – which could unlock untold creativity and progress.
Arguing for the motion is Stuart Russell, Professor of Computer Science and Smith-Zadeh Professor in Engineering, University of California, Berkeley, and Honorary Fellow, Wadham College, Oxford. He’s the author of Human Compatible: Artificial Intelligence and the Problem of Control.
Arguing against the motion is Melanie Mitchell, Davis Professor of Complexity at the Santa Fe Institute. She is the author of Artificial Intelligence: A Guide for Thinking Humans.
Read the full article at: omny.fm
What drives society’s understanding of right and wrong? In this thought-provoking talk, futurist Juan Enriquez offers a historical outlook on what humanity once deemed acceptable — from human sacrifice and public executions to slavery and eating meat — and makes a surprising case that exponential advances in technology leads to more ethical behavior.
Read the full article at: www.ted.com
Sean Carroll talks with biologist Michael Levin about how a combination of genetic information and physical constraints shape an organism.
Listen at: https://www.preposterousuniverse.com/podcast/2021/02/01/132-michael-levin-on-growth-form-information-and-the-self/
62 videos total are included:
* Plenary talks are recordings as individual videos (8).
* Lightning talks are recordings of the 2 separate days (2).
* Invited and contributed talks are 6 parallel, x 2 per day, x 4 days (48).
* Special sessions (4).
You can use the search feature to look for an author by name, keyword in the title of the presentation, etc. These are all listed at the bottom of each video.
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