Equity and Ethics Considerations for AI

This session will begin with an overview and discussion of the meaning of fairness in AI within the learning sciences context. Some key ideas will include: (1) train models in an equitable way; (2) choosing applications to build; (3) considerations for ensuring that the tools that you are creating and want to create are accessible.