Events

CITP Lecture: Michael P. Kim - Foundations of Responsible Machine Learning

Computer Science 105 , United States

Algorithms make predictions about people constantly.  The spread of such prediction systems has raised concerns that machine learning algorithms may exhibit problematic behavior, especially against individuals from marginalized groups.  This talk will provide an ...

CITP Lecture: Peter Henderson - Aligning Machine Learning, Law, and Policy for Responsible Real-World Deployments

Computer Science 105 , United States

Machine learning (ML) is being deployed to a vast array of real-world applications with profound impacts on society. ML can have positive impacts, such as aiding in the discovery of new cures for diseases and improving government transparency and efficiency. But it can also be harmful: reinforcing authoritarian regimes, scaling ...