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INF2-FDS: S2 Week 4 - Ethical and legal issues in supervised learning

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

No lecture on Wednesday.

Workshop

S2 Week 4 Workshop, which covers problems on sampling distributions and confidence intervals.

Lab

This week's lab is on K-means, which is covered in the lectures. Please note that there are no in-person lab sessions, but you can ask questions on Piazza.

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  • INF2-FDS: S2 Week 4 Lab
  • INF2-FDS: S2 Week 4 Workshop

Book traversal links for INF2-FDS: S2 Week 4 - Ethical and legal issues in supervised learning

  • INF2-FDS: Task: Preparation for S2 Week 4 Workshop
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  • INF2-FDS: S2 Week 4 Lab

Navigation links

  • INF2-FDS: Course team
  • INF2-FDS: Schedule
  • INF2-FDS: Course Materials
    • INF2-FDS: S1 Week 1 - Introduction and Data
    • INF2-FDS: S1 Week 2 - Descriptive statistics
    • INF2-FDS: S1 Week 3 - Exploratory data analysis, data communication and visualisation
    • INF2-FDS: S1 Week 4 - Data Ethics, Data Scraping and statistical relationships
    • INF2-FDS: S1 Week 5 - Introduction to supervised learning - Nearest Neighbours
    • INF2-FDS: S1 Week 6 - Linear models
    • INF2-FDS: S1 Week 7 - Coursework 1
    • INF2-FDS: S1 Week 8 - Multiple regression
    • INF2-FDS: S1 Week 9 - Dealing with high dimensions
    • INF2-FDS: S1 Week 10 - Randomness, sampling and simulation
    • INF2-FDS: S1 Week 11 - Estimation and confidence intervals
    • INF2-FDS: S2 Week 1 - Hypothesis testing and A/B testing
    • INF2-FDS: S2 Week 2 - Logistic regression
    • INF2-FDS: S2 Week 3 - Introduction to unsupervised learning - K-means
    • INF2-FDS: S2 Week 4 - Ethical and legal issues in supervised learning
      • INF2-FDS: S2 Week 4 Lab
      • INF2-FDS: S2 Week 4 Workshop
    • INF2-FDS: S2 Week 5 - Regression and inference
    • INF2-FDS: S2 Week 6 - Software engineering for data science
    • INF2-FDS: S2 Week 8 Project writing workshop
    • INF2-FDS: Revision
  • INF2-FDS: Labs
  • INF2-FDS: Workshops
  • INF2-FDS: Resource List
  • INF2-FDS: Assessment
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