FYI

Best Regards, Ishtiaque

Syed Ishtiaque Ahmed Assistant Professor Department of Computer Science Faculty Affiliate, Schwartz Reisman Institute https://www.torontosri.ca/ University of Toronto, ON, CA Ph: +1 647 220 3482 Skype: syed.ishtiaque.ahmed web: https://www.ishtiaque.net/ My Availability: Google Calendar Link https://calendar.google.com/calendar/embed?src=ishtiaque.uoft%40gmail.com&ctz=America%2FToronto

---------- Forwarded message --------- From: Ryan Perez ryan.perez@mscac.utoronto.ca Date: Thu, Oct 15, 2020 at 10:18 PM Subject: Data Science Speaker Series at U of T: Gillian Hadfield | Monday, Oct 19, 2020 To: dcsall@cs.toronto.edu dcsall@cs.toronto.edu

Join us at the launch of the Data Science Speaker Series at U of T https://canssiontario.utoronto.ca/?page_id=6247, a collaboration between U of T Master of Science in Applied Computing https://mscac.utoronto.ca/ (MScAC) Program, the Rotman Master of Management Analytics Program https://www.rotman.utoronto.ca/Degrees/MastersPrograms/MMA/GetStarted2020?gclid=CjwKCAjwm_P5BRAhEiwAwRzSO1Sfk2-SA1aajac-imjK6VExW5KvThOYDbrL1xfr4-vg0jmIw5S6oxoCnhkQAvD_BwE, and CANSSI Ontario https://canssiontario.utoronto.ca/.

*Speaker*

*Gillian K. Hadfield *Schwartz Reisman Chair in Technology and Society, Professor of Law, and Professor of Strategic Management Director, Schwartz Reisman Institute for Technology and Society University of Toronto Faculty Affiliate, Vector Institute for Artificial Intelligence Senior Policy Advisor, OpenAI

*Seminar*

*Talk Title:* Why machine learning has us all talking about bias, privacy, and the end of democracy

*Date & Time:* Monday, October 19, 2020 | 5:15-6:15 pm ET

*Location: *Online

*Free Event | Register Here https://dsss_gillian_hadfield.eventbrite.com/*

*Abstract:* In this talk, I’ll discuss the features of machine learning that distinguish it from conventional data science and how those differences raise new issues for data scientists. These are issues that are increasingly discussed in popular media raising concerns about responsible or ethical AI: algorithmic bias, transparency, and accountability. I’ll also discuss how the growth in the importance of machine learning in industry contributes to heightened concerns around privacy, antitrust, behavioural manipulation, and political instability.

*Profile: *Gillian K. Hadfield is the director of the Schwartz Reisman Institute for Technology and Society. She is the Schwartz Reisman Chair in Technology and Society, professor of law and of strategic management at the University of Toronto, a faculty affiliate at the Vector Institute for Artificial Intelligence, and a senior policy advisor at OpenAI. Her current research is focused on innovative design for legal and regulatory systems for AI and other complex global technologies; computational models of human normative systems; and working with machine learning researchers to build ML systems that understand and respond to human norms.

[image: A person holding a sign Description automatically generated] https://canssiontario.utoronto.ca/?mec-events=dsss_gillian_hadfield

*Ryan Perez, MDM*

Communications & External Relations Officer MSc in Applied Computing (MScAC) Program University of Toronto | 9th Floor - 700 University Avenue

416-946-8648 | ryan.perez@mscac.utoronto.ca

mscac.utoronto.ca