Advancing Responsible AI for a Safer Future

Center for Responsible AI and Governance

The Center for Responsible AI and Governance, known as CRAIG, represents a significant advancement in the field of artificial intelligence research. Funded by the National Science Foundation (NSF), it is the first Industry-University Cooperative Research Center (IUCRC) specifically dedicated to the development of knowledge and workforce aimed at creating AI that is safe, accurate, impartial, and accountable.

The Importance of Responsible AI

As AI technologies continue to evolve, ensuring their safety and trustworthiness becomes paramount. By focusing on these aspects, CRAIG seeks to enhance the adoption of AI, thereby promoting U.S. competitiveness, enhancing national security, and upholding societal values.

Research Team Composition

The CRAIG team is comprised of over 35 researchers across four esteemed institutions, bringing together a diverse range of expertise:

  • John Basl, Associate Professor of Philosophy
  • Cansu Canca, Director of Responsible AI Practice; Associate Research Professor of Philosophy & Religion; Affiliate faculty in the Ethics Institute
  • Katie Creel, Assistant Professor of Philosophy and Computer Science
  • Sina Fazelpour, Assistant Professor of Philosophy and Computer Science
  • Ron Sandler, Professor of Philosophy; Director of the Ethics Institute
  • David Lazer, University Distinguished Professor of Political Science and Computer Sciences
  • Jennifer Dy, Distinguished Professor of Electrical and Computer Engineering
  • Yakov Bart, Associate Professor of Marketing; Joseph G. Riesman Research Professor

Project Sponsorship

The project is sponsored by the National Science Foundation, underscoring governmental support and recognition of the need for responsible AI development.

In summary, CRAIG stands as a pivotal initiative in the pursuit of responsible artificial intelligence, aiming to equip the next generation of researchers and practitioners with the necessary tools and knowledge to navigate the complexities of AI in a way that serves the public good.

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