In this seminar, we will study the Ethical algorithms, authored by Michael Kearns and Aaron Roth. Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code - without halting the advance of data-driven scientific exploration. The Ethical Algorithm offers a new approach: a set of principled solutions based on the emerging and exciting science of socially aware algorithm design.
To develop research thinking a new perspective in the field of Fair, Accountable, and Transparent (FAccT) machine learning.
Date and Time: February 26, 2024 (Monday) from 15:00 to 18:00
Place: IS コラボ7/Collaboration Room7 (on the 5th floor)
All speakers should share your presentation via this shared folder beforehand.
Each presentation should be no longer than 1 hour including Q&A.
Chapter 1: Algorithmic Privacy: From Anonymity to Noise
Time: 15:00 - 16:00
Speaker: Han Shu
Chapter 2: Algorithmic Fairness: From Parity to Pareto
Time: 16:00 - 17:00
Speaker: Yizhi Pan
Chapter 3: Games People Play (With Algorithms)
Time: 17:00 - 18:00
Speaker: Xiguang Li