Explore the intersection of algorithmic fairness and vertical equity in a thought-provoking conference talk that delves into income fairness within tax audit models. Join Emily Black, Hadi Elzayn, Alexandra Chouldechova, Jacob Goldin, and Daniel Ho as they present their research on this critical topic. Gain insights into how algorithmic decision-making systems can impact income fairness and the implications for tax auditing processes. Discover the challenges and potential solutions for ensuring equitable outcomes in automated tax enforcement. This 15-minute presentation, delivered at an Association for Computing Machinery (ACM) event, offers a concise yet comprehensive look at the complex interplay between technology, fairness, and economic justice in the context of taxation.
Algorithmic Fairness and Vertical Equity - Income Fairness with Tax Audit Models
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
Algorithmic Fairness and Vertical Equity: Income Fairness with Tax Audit Models
Taught by
ACM FAccT Conference