This project investigates algorithmic bias and fairness in machine learning systems. The student will analyse whether a predictive model produces unequal outcomes for different demographic or protected groups and evaluate techniques for measuring and mitigating unfairness. A focus will be on using and extending the OxonFair python toolkit.
This project would be ideal for BA ICS/MCS, BA CS (JH), BA CSLL and integrated masters. Experience with python programming and an avid interest in machine learning is desirable. Experience with pytorch and a strong track record of projects on Github is a plus.