{"id":6740,"date":"2020-08-31T09:41:59","date_gmt":"2020-08-31T14:41:59","guid":{"rendered":"https:\/\/forensicstats.org\/?post_type=tribe_events&p=6740"},"modified":"2020-09-30T13:06:42","modified_gmt":"2020-09-30T18:06:42","slug":"csafe-september-center-wide-meeting-2","status":"publish","type":"tribe_events","link":"https:\/\/forensicstats.org\/event\/csafe-september-center-wide-meeting-2\/","title":{"rendered":"CSAFE September Center Wide Webinar"},"content":{"rendered":"

CSAFE invites researchers, collaborators, and members of the broader forensics and statistics communities to participate in our September Center Wide Webinar on\u00a0Monday, September 21st from 11-12 pm CST.<\/strong> We will have a short introduction from CSAFE Director Alicia Carriquiry followed by the presentation \u201cThe Ethical Algorithm\u201d<\/em> by Michael Kearns, Professor in the Computer and Information Science department at the University of Pennsylvania.<\/p>\n

Presentation Description:<\/strong> Many recent mainstream media articles and popular books have raised alarms over anti-social algorithmic behavior, especially regarding machine learning and artificial\u00a0intelligence. The concerns include leaks of sensitive personal data by predictive models, algorithmic discrimination as a side-effect of machine learning, and inscrutable\u00a0decisions made by complex models. While standard and legitimate responses to these phenomena include calls for stronger and better laws and regulations, researchers\u00a0in machine learning, statistics and related areas are also working on designing better-behaved algorithms. An explosion of recent research in areas such as differential\u00a0privacy, algorithmic fairness and algorithmic game theory is forging a new science of socially aware algorithm design. I will survey these developments and attempt to\u00a0place them in a broader societal context. This talk is based on the book The Ethical Algorithm, co-authored with Aaron Roth (Oxford University Press).<\/p>\n

Presenter Bio:<\/strong> Michael Kearns is a professor in the Computer and Information Science department at the University of Pennsylvania, where he holds the National Center Chair and has\u00a0joint appointments in the Wharton School.He is founder of Penn\u2019s Networked and Social Systems Engineering (NETS) program, and director of Penn\u2019s Warren Center for\u00a0Network and Data Sciences. His research interests include topics in machine learning, algorithmic game theory, social networks, and computational finance. He has\u00a0worked and consulted extensively in the technology and finance industries. He is a fellow of the American Academy of Arts and Sciences, the Association for Computing\u00a0Machinery, and the Association for the Advancement of Artificial Intelligence. Kearns has consulted widely in the finance and technology industries, including a current role\u00a0as an Amazon Scholar.<\/p>\n

Please register for the event by clicking the button above. Participation instructions will be sent to you following your registration.<\/p>\n","protected":false},"excerpt":{"rendered":"

CSAFE invites researchers, collaborators, and members of the broader forensics and statistics communities to participate in our September Center Wide Webinar on\u00a0Monday, September 21st from 11-12 pm CST. 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