Hybrid events

Humanistic, Pluralistic, and Coevolutionary AI Safety and Alignment

This thesis studies patient education grounded in digital health records.

The dissertation addresses the fundamental challenge of deploying machine learning models on resource-constrained autonomous systems

Arvind will present a vision of artificial intelligence as “normal technology,” in contrast to visions that treat AI as a potentially superintelligent entity.

This talk will present the last decade of the speaker's research, technology development, and policy advocacy at the intersection of ML/AI and child safety.