Algorithmic Fairness, Accountability and Ethics

IT University of Copenhagen (Spring 2022)

ALFAE course is an overview on the topics of bias and fairness in data, models, and algorithms, and on the associated ethical and accountability issues. This repository contains exercises for Spring semester 2022.

Lectures:

1. Introduction (4th February 2022)
2. Bias sources (11th February 2022)
3. Fairness Merics (18th February 2022)
4. Explainability 1: White-Box Models (25th February 2022)
5. Explainability 2: Black-Box Models (4th March 2022)
6. Debiasing Models (11th March 2022) - Content is on LearnIT
7. Debiasing Data (18th March 2022) - Content is on LearnIT
8. Robustness of Models (25th March 2022) - Content is on LearnIT
9. The Ethics of Fairness (1st April 2022) - Content is on LearnIT
10. Auditing Algorithms (8th April 2022)
11. The dream of AI. From GOFAI to modern AI (22nd April 2022) - Content is on LearnIT
12. Philosophy of Big Data (29th April 2022) - Content is on LearnIT
13. Recap (6th May 2022)

Team:

• Roberta Sinatra (Course manager & Teacher)
• Martin Aumüller (Teacher)
• Pawel Grabarczyk (Teacher)
• Vedran Sekara (Teacher)
• Germans Savcisens (Teaching Assistant)