We invite you to join us as we explore a multitude of topics related to bias, fairness, and ethical data science. Topics include:
- Developments in Explainable Models
- Model Agnostic Interpretability
- Metrics of bias and fairness
- Policy solutions and business frameworks for ethical data science
- Applied analysis of bias in high-stakes decision modeling
- Strategies for ethical storytelling with data
Opportunities for networking with professionals from the data science community will take place in between sessions and a competitive trivia session (with prizes!) during Friday’s lunch hour will test your knowledge of current events and topics from conference speakers!