Explore a series of conference talks from the FAT* 2019 conference focusing on systems and measurement in computing. Delve into topics such as online A/B/n testing, balancing privacy and public accountability in data sharing, fairness-aware programming, and model performance reporting. Learn about investigating real-world A/B/n tests, strategies for responsible data sharing, programming techniques that incorporate fairness considerations, and best practices for documenting machine learning model performance. Gain insights into cutting-edge research and discussions on fairness, accountability, and transparency in technology systems.
Overview
Syllabus
Intro
Background
Data Trust Model
assertions
questions
Taught by
ACM FAccT Conference