Overview
Explore the critical intersection of fairness and related concepts in a comprehensive tutorial presented at the FAccT 2021 conference. Delve into the complexities of algorithmic fairness as experts Falaah Arif Khan, Eleni Manis, and Julia Stoyanovich guide you through key topics. Gain valuable insights into the ethical considerations surrounding surveillance technology and its impact on society. Examine the power dynamics inherent in algorithmic decision-making systems and learn how to approach these challenges from multiple perspectives. Benefit from the combined expertise of scholars from New York University and the Surveillance Technology Oversight Project as they unpack the nuances of fairness in computational systems. Enhance your understanding of the social and technical implications of AI and machine learning in this thought-provoking 93-minute session, designed to equip you with essential knowledge for navigating the evolving landscape of responsible technology development.
Syllabus
Translation Tutorial: Fairness and Friends
Taught by
ACM FAccT Conference