Algorithmic Fairness and Individual Probabilities
Offered By: Alan Turing Institute via YouTube
Course Description
Overview
Explore the theory of algorithmic fairness and its implications in this 54-minute conference talk by Cynthia Dwork from Harvard University. Delve into fundamental questions raised by algorithmic fairness, focusing on the concept of "individual probability." Examine the proposed notion of Outcome Indistinguishability and its wide-ranging applications. Gain insights into the intersection of mathematics, deep learning, and trustworthy artificial intelligence. Learn about emerging directions in AI accountability, fairness, privacy, and safety. Understand how this research impacts academia, industry, policymaking, and society at large.
Syllabus
Algorithmic fairness and individual probabilities - Cynthia Dwork, Harvard University
Taught by
Alan Turing Institute
Related Courses
Knowledge-Based AI: Cognitive SystemsGeorgia Institute of Technology via Udacity AI for Everyone: Master the Basics
IBM via edX Introducción a La Inteligencia Artificial (IA)
IBM via Coursera AI for Legal Professionals (I): Law and Policy
National Chiao Tung University via FutureLearn Artificial Intelligence Ethics in Action
LearnQuest via Coursera