April
14

Penn Bioethics Seminar Series: Michael Kearns and Aaron Roth

12:00pm - 1:00pm • https://zoom.us/j/616810525

2020-04-14 12:00:00 2020-04-14 13:00:00 America/New_York Penn Bioethics Seminar Series: Michael Kearns and Aaron Roth The Ethical Algorithm Tuesday, April 14, 12-1p ET, via Zoom https://zoom.us/j/616810525 PASSWORD REQUIRED: Please email mary.pham@pennmedicine.upenn.edu for code. Many recent mainstream media articles and popular books have raised alarms over anti-social algorithmic behavior, especially regarding machine learning and artificial intelligence. The concerns include leaks of sensitive personal data by predictive models, algorithmic discrimination as a side-effect of machine learning, and inscrutable decisions made by complex models. While standard and legitimate responses to these phenomena include calls for stronger and better laws and regulations, researchers in machine learning, statistics and related areas are also working on designing better-behaved algorithms. An explosion of recent research in areas such as differential privacy, algorithmic fairness and algorithmic game theory is forging a new science of socially aware algorithm design. We will survey these developments and attempt to place them in a broader societal context, and discuss policy and regulatory implications. This talk is based on our book The Ethical Algorithm: The Science of Socially Aware Algorithm Design (Oxford University Press, 2019).  Michael Kearns National Center Professor of Management & Technology Computer and Information Science Aaron Roth Associate Professor of Computer and Information Science ___________________  Zoom is FREE for any participant. Please test out the link above before the meeting (you may join directly from your browser or download Zoom and join from the app). If you cannot make the lecture live, we can make a link to the recording available per request. What to expect during the Zoom lecture: Password is required. Please email mary.pham@pennmedicine.upenn.edu for code. Your audio will be automatically muted upon entering the meeting. You can unmute to ask questions or you use the chat box to submit a question. For other tips on online meeting etiquette, please see here: https://blogs.otago.ac.nz/zoom/zoom-etiquette-attendee/ https://zoom.us/j/616810525 Penn Medical Ethics

The Ethical Algorithm


Tuesday, April 14, 12-1p ET, via Zoom

https://zoom.us/j/616810525
PASSWORD REQUIRED: Please email mary.pham@pennmedicine.upenn.edu for code.

Many recent mainstream media articles and popular books have raised alarms over anti-social algorithmic behavior, especially regarding machine learning and artificial intelligence. The concerns include leaks of sensitive personal data by predictive models, algorithmic discrimination as a side-effect of machine learning, and inscrutable decisions made by complex models. While standard and legitimate responses to these phenomena include calls for stronger and better laws and regulations, researchers in machine learning, statistics and related areas are also working on designing better-behaved algorithms. An explosion of recent research in areas such as differential privacy, algorithmic fairness and algorithmic game theory is forging a new science of socially aware algorithm design. We will survey these developments and attempt to place them in a broader societal context, and discuss policy and regulatory implications. This talk is based on our book The Ethical Algorithm: The Science of Socially Aware Algorithm Design (Oxford University Press, 2019). 

Michael Kearns
National Center Professor of Management & Technology Computer and Information Science

Aaron Roth
Associate Professor of Computer and Information Science

___________________ 

Zoom is FREE for any participant. Please test out the link above before the meeting (you may join directly from your browser or download Zoom and join from the app). If you cannot make the lecture live, we can make a link to the recording available per request.

What to expect during the Zoom lecture:

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