Explore a thought-provoking conference talk that delves into the concept of algorithmic fairness within the context of India and its implications for global perspectives. Examine the research presented by N. Sambasivan, E. Arnesen, B. Hutchinson, T. Doshi, and V. Prabhakaran at the FAccT 2021 virtual conference. Gain insights into how cultural, social, and economic factors unique to India challenge traditional notions of fairness in AI systems. Analyze the researchers' findings and their potential impact on developing more inclusive and equitable algorithmic solutions. Consider how this 20-minute presentation from the Association for Computing Machinery (ACM) contributes to the ongoing dialogue about ethical AI development and implementation across diverse global contexts.
Re-imagining Algorithmic Fairness in India and Beyond
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
Re-imagining Algorithmic Fairness in India and Beyond
Taught by
ACM FAccT Conference
Related Courses
-
Fairness, Equality, and Power in Algorithmic Decision-Making
-
Algorithmic Fairness and Vertical Equity - Income Fairness with Tax Audit Models
-
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness
-
I Agree with the Decision, but They Didn't Deserve This - Future Developers' Perception of Fairness
-
Algorithmic Fairness in Predicting Opioid Use Disorder using Machine Learning
-
Price Discrimination with Fairness Constraints
