The Looming Social Impacts of Artificial Intelligence (IN PERSON)
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About this event
After a brief review of the current AI technology, and why there is no current evidence that AI will pose an existential danger to humanity in the foreseeable future, we will focus on a range of pressing areas of concern about emerging AI technologies. The talk will consider: AI and jobs, AI and privacy, AI and decisions about people's lives (e.g. credit evaluation, bail, sentencing determination, etc.), AI and autonomous weapons, and AI and the environment. It will also consider AI and responsibility, focusing on models for where legal responsibility should lie if, for example, an autonomous vehicle strikes someone. And finally, it will look at a range of issues about the potential impacts of AI on education.
Bio of Presenter: Mitch Marcus is RCA Professor of Artificial Intelligence Emeritus in the Department of Computer and Information Science (CIS) at the University of Pennsylvania, where he was also Professor of Linguistics. He received an AB from Harvard University in Linguistics and Applied Math and a Ph.D. from the MIT Artificial Intelligence Lab in 1978. He was a Member of Technical Staff at AT&T Bell Laboratories before coming to Penn in 1987. His early work focused on computational models of human syntactic processing, showing deep connections between the linguistic theories of Noam Chomsky and computation, In the early 1990s, he developed the Penn Treebank, which has been widely used for the past 40 years to train statistical natural language processing systems. More recently, he ran a multi-university team developing natural language interfaces for autonomous robots and has developed cognitively plausible models for automatically learning linguistic structure.
He is a fellow of the American Association of Artificial Intelligence, a founding fellow of the Association for Computational Linguistics and served for over a decade as chair of the advisory board of the Center of Excellence in Human Language Technologies at Johns Hopkins University. He has served as chair of Penn’s Computer and Information Science Department, as chair of the Penn Faculty Senate, chair of the Committee on Science and the Arts of the Franklin Institute, which recommends Benjamin Franklin Medal Laureates, as well as president of the Association for Computational Linguistics. He is currently chair of the Penn Association of Senior and Emeritus Faculty (PASEF).
Event Contact(s)
Rachel Amin
Category
MacColl Room Programs
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After a brief review of the current AI technology, and why there is no current evidence that AI will pose an existential danger to humanity in the foreseeable future, we will focus on a range of pressing areas of concern about emerging AI technologies. The talk will consider: AI and jobs, AI and privacy, AI and decisions about people's lives (e.g. credit evaluation, bail, sentencing determination, etc.), AI and autonomous weapons, and AI and the environment. It will also consider AI and responsibility, focusing on models for where legal responsibility should lie if, for example, an autonomous vehicle strikes someone. And finally, it will look at a range of issues about the potential impacts of AI on education.
Bio of Presenter: Mitch Marcus is RCA Professor of Artificial Intelligence Emeritus in the Department of Computer and Information Science (CIS) at the University of Pennsylvania, where he was also Professor of Linguistics. He received an AB from Harvard University in Linguistics and Applied Math and a Ph.D. from the MIT Artificial Intelligence Lab in 1978. He was a Member of Technical Staff at AT&T Bell Laboratories before coming to Penn in 1987. His early work focused on computational models of human syntactic processing, showing deep connections between the linguistic theories of Noam Chomsky and computation, In the early 1990s, he developed the Penn Treebank, which has been widely used for the past 40 years to train statistical natural language processing systems. More recently, he ran a multi-university team developing natural language interfaces for autonomous robots and has developed cognitively plausible models for automatically learning linguistic structure. He is a fellow of the American Association of Artificial Intelligence, a founding fellow of the Association for Computational Linguistics and served for over a decade as chair of the advisory board of the Center of Excellence in Human Language Technologies at Johns Hopkins Uni
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