Starting from Tuesday October 23, 2018, Madeleine Ransom and I will be organizing a bi-weekly reading group on issues of trust and transparency that arise from the application of machine learning systems in social contexts. The reading group will focus on three inter-related topics:
- Senses and sources of algorithmic bias
- Methods for quantifying and mitigating algorithmic unfairness
- Methods for making machine learning models post-hoc interpretable
For more information see the reading group’s website.
Sina Fazelpour 