Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a thought-provoking conference session from FAT* 2019 focusing on framing and abstraction in the context of fairness, accountability, and transparency in technology. Chaired by Hanna Wallach, this 42-minute session features three insightful presentations. Delve into "Problem Formulation and Fairness" by Samir Passi and Solon Barocas, examining the intersection of problem framing and ethical considerations. Gain historical perspective with "50 Years of Test (Un)fairness: Lessons for Machine Learning" by Ben Hutchinson and Margaret Mitchell, exploring the evolution of fairness in testing and its implications for AI. Conclude with "Fairness and Abstraction in Sociotechnical Systems" by Andrew D. Selbst, danah boyd, Sorelle A. Friedler, Suresh Venkatasubramanian, and Janet Vertesi, investigating the complex interplay between fairness and system design. Enhance your understanding of critical issues in the field of computing ethics and fairness through this comprehensive conference session.