Artificial intelligence (AI) is already impacting many aspects of people’s lives and society at large. At Carnegie Mellon University, we believe that AI must be designed, developed, and deployed responsibly to ensure accountability and transparency, and lead toward a more just and equitable world.
Carnegie Mellon has the expertise and ingenuity that is necessary to direct advances in AI toward social responsibility. CMU’s Responsible AI initiative brings together researchers and educators spanning computer science, engineering, decision sciences, philosophy, arts, economics, psychology, public policy, statistics, and business to make progress in:
- Translating research to policy and social impact: translating research insights into policy and positive social impact.
- Building community and serving our local and global communities: collaborating and co-designing with local communities and the public at large.
- Education and training: offering hands-on and experiential educational and research opportunities for students, staff and faculty.
- Partnerships: working collaboratively with partners to develop and deploy AI methodologies and tools that enable learning, practice, and research.
CMU’s Responsible AI initiative will evolve, in part, based on the interests and priorities of government, industry, non-profit, and community partners. Activities will include education and training workshops, research projects, collaborative projects, and community events.
Responsible AI is a university-wide initiative housed at the Block Center, with support from the School of Computer Science, that draws on expertise from across Carnegie Mellon.
Hybrid Mini Workshop: Responsible AI in the Natural Sciences
May 8th 2023, 1-5:30pm | Gates Hillman Center Room 6115 and Online
Everyone welcome. Discussions will include: how to mitigate biases in AI, explainable AI and its uses, reproducibility, ethics of AI, large-language models & scientific writing.