The Ethical Algorithm (w/ Michael Kearns)

The Centre for Ethics at the University of Torontois an interdisciplinary centre aimed at advancing research and teaching in the field of ethics, broadly defined. The Centre seeks to bring together the theoretical and practical knowledge of diverse scholars, students, public servants and social leaders in order to increase understanding of the ethical dimensions of individual, social, and political life.

Centre for Ethics, University of Toronto

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The Ethical Algorithm
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. I will survey these developments and attempt to place them in a broader societal context. This talk is based on the forthcoming book “The Ethical Algorithm”, co-authored with Aaron Roth (Oxford University Press, 2019).
<A HREF="http://www.cis.upenn.edu/~mkearns/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Michael Kearns</A> University of Pennsylvania Computer Science 
04:00 PM - 06:00 PM Centre for Ethics, University of Toronto 200 Larkin

Centre for Ethics

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The Ethical Algorithm (w/ Michael Kearns)

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The Ethical Algorithm (w/ Michael Kearns)

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