Algorithmic Fairness, Accountability and Ethics

IT University of Copenhagen (Spring 2023)

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 2023.

Lectures:

1. Introduction with Germans Savcisens (2th February 2023)
2. Fairness metrics with Martin Aumüller (9th February 2023)
3. Explainability: Motivation and White-box models with Martin Aumüller (16th February 2023)
4. Explainability: Black-box models with Martin Aumüller (23th February 2023)
5. Bias sources with Germans Savcisens (2th March 2023)
6. Debiasing models with Germans Savcisens (9th March 2023)
7. Debiasing data with Germans Savcisens (16th March 2023)
8. Robustness of Models with Germans Savcisens (23th March 2023)
9. Auditing Algorithms with Germans Savcisens (30th March 2023)
10. The ethics of Fairness with Pawel Grabarczyk(13th April 2023)
11. The dream of AI. From GOFAI to modern AI with Pawel Grabarczyk (20nd April 2023)
12. Philosophy of big data with Pawel Grabarczyk (27th April 2023)
13. Recap, Evaluation and Feedback with Germans Savcisens (4th May 2023)

Submissions

1. Assignment 1 deadline 7th March 2023
2. Assignment 2 deadline 11th April 2023
3. Group Project A deadline May 2 2023
4. Exam submission: Group Project B handin May 19th 2023

Team:

• Vedran Sekara (Course manager & Teacher)
• Martin Aumüller (Teacher)
• Pawel Grabarczyk (Teacher)
• Germans Savcisens (Teacher)
• Camilla Jung Westermann (Teaching Assistant)