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Research

Conducting interdisciplinary research.

Developing safe and beneficial AI demands collaboration across disciplines and sectors. While high-level ethical principles provide essential guidance, we recognize that ethical challenges must be understood within their specific, local contexts.

In partnership with industry and nonprofit organizations, we focus on four core research areas:

  1. Information Integrity: How do we maintain trust in our information ecosystems? What tools and educational approaches can preserve institutional credibility and help the public evaluate information quality?
  2. AI Alignment and Safety: How do we ensure that AI systems and agents behave in predictable, interpretable, and transparent ways?
  3. Global Ethics: How do we develop culturally intelligent and socially grounded AI experiences that serve diverse communities? What are different conceptual differences to data rights?
  4. AI Governance and Accountability: What research is needed to support regulatory frameworks and ethical standards that protect individuals from harm and preserve human autonomy?