

A Social Scientist’s Perspective on AI with Eric Rice - #511
Aug 19, 2021
Eric Rice, an associate professor at USC and co-director of the USC Center for Artificial Intelligence in Society, sheds light on the intersection of AI and social science. He shares his experiences working on projects like HIV prevention for homeless youth and using machine learning to aid in housing resource allocation. Eric emphasizes the need for interdisciplinary collaboration and discusses how social scientists approach assessment differently than computer scientists, focusing on real-world impacts of AI solutions.
AI Snips
Chapters
Transcript
Episode notes
Real Collaboration
- Collaborate genuinely with domain experts from the beginning for more thoughtful solutions.
- Avoid tokenism; ensure all parties contribute meaningfully.
Cross-Disciplinary Communication
- Learn each other's jargon to bridge communication gaps between fields.
- Recognize that even the same words can have different meanings.
Iterative Problem Solving
- Iterate on solutions as new aspects of the problem emerge through the process.
- Initial solutions may not fully address the problem's complexity.