Explore a comprehensive tutorial on achieving transparency and accuracy in predictive decision-making, presented at FAccT 2021 by experts from Harvard. Delve into the concept of strategic prediction and its application in various fields. Learn how to balance the often conflicting goals of transparency and accuracy in predictive models. Gain insights into the challenges and solutions for creating more ethical and effective decision-making systems. Discover practical techniques and methodologies that can be applied to real-world scenarios. Benefit from the expertise of Benjamin L. Edelman, Chara Podimata, and Yonadav Shavit as they guide you through this critical topic in the field of computing and artificial intelligence. Enhance your understanding of the implications of predictive decision-making on fairness, accountability, and transparency in technology.
How to Achieve Both Transparency and Accuracy in Predictive Decision Making - An Introduction to Strategic Prediction
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
Translation Tutorial: How to Achieve Both Transparency and Accuracy in Predictive Decision Making
Taught by
ACM FAccT Conference