INF2-FDS: S2 Week 6 - Ethical and legal issues in supervised learning and software engineering for data science
Monday's Lecture
We'll do a little Q&A and then we'll look at a case study that brings together Logistic Regression and legal and ethical issues of fairness in supervised learning.
- Slides
- Article about the case study on the UoE website: Equality law can disadvantage women in algorithmic credit decisions
- Andreeva, G. and Matuszyk, A. (2019), The law of equal opportunities or unintended consequences?: The effect of unisex risk assessment in consumer credit. J. R. Stat. Soc. A, 182: 1287-1311. https://doi.org/10.1111/rssa.12494
Wednesday's Lecture
Monday's lecture is on the topic of software engineering for data science. Last year (2023/24) it was given by Anna Hadjitofi, who has worked as a data scientist at the Turning Institute and Microsoft Research.
Workshop
S2 Week 6 Workshop, which covers problems on logistic regression, hypothesis testing and A/B testing. There's a problem related to Minecraft.
License
All rights reserved The University of Edinburgh