Machine Learning and Bias: Drawing Insights from History to Build a Better Future
Wednesday, July 31, 2024 - 9:00 PM UTC, for 1 hour.
Regular, 60 minute presentation
Room: African 30
This talk is an invitation to learn about the history of discrimination in two fields in which machine learning algorithms have recently been shown to demonstrate bias: Policing and Healthcare. With our technological systems rapidly evolving, it is natural to be excited about the potential to address problems in society that have previously felt unsolvable. It is important, however, that we critically reflect on what kind of future we are working to build, as well as the scope and nature of the problems we are trying to solve. Let’s work to build a better future without repeating mistakes of the past!
Prerequisites
Things to know: No experience required! Things to have: An open mind, and a notepaper and pen/pencil if that's your style.
Take Aways
- Increased appreciation for the many ways in which various individuals and organizations have worked to address the sources and ramifications of bias over time
- Increased knowledge about the potential benefits and risks of machine learning
Supporting Resources
