Algorithmic bias and ethics of ML systems - Data Science PhD Course
Monday 27th May 2019 09:00 - 16:00, DIAG, Via Ariosto 25, room B203
1. 09:00-11:00 Introduction to Algorithmic Bias (Carlos Castillo - UPF)
Introduction to Algorithmic Discrimination
The Discrimination Discovery Task
2. 11:15-13:15 Mitigating Algorithmic Bias (Francesco Bonchi - ISI Torino & Eurecat)
Mitigation of Algorithmic Bias in Data Mining
3. 14:00-16:00 Fairness in Machine Learning (Carlos Castillo - UPF)
Discrimination in supervised classification
Practice on criminal recidivism: https://bitbucket.org/chato/savry-exploration/src/master/
Tuesday May 28 2019, 9.00 - 16.00, DIAG, Via Ariosto 25, room B203
4. 09:00-11:00 Tools for Algorithmic Bias Detection and Mitigation (Francesco Bonchi - ISI Torino & Eurecat)
Tools for Algorithmic Bias Detection and Mitigation
5. 11:15-13:15 Fairness in Rankings + Ethics discussion (Carlos Castillo - UPF)
Fairness in Rankings
Ethics of Social Media Research; group discussion of case studies.
6. 14:00 - 16:00 Algorithmic Fairness (Chris Schwiegelshohn - Sapienza)
The Notion of Disparate Impact
Fair algorithms for Clustering and Recommendation