A Social Scientist’s Perspective on AI with Eric Rice - #511
Published:Aug 19, 2021 16:09
•1 min read
•Practical AI
Analysis
This article discusses an interview with Eric Rice, a sociologist and co-director of the USC Center for Artificial Intelligence in Society. The conversation focuses on Rice's interdisciplinary work, bridging the gap between social science and machine learning. It highlights the differences in assessment approaches between social scientists and computer scientists when evaluating AI models. The article mentions specific projects, including HIV prevention among homeless youth and using ML for housing resource allocation. It emphasizes the importance of interdisciplinary collaboration for impactful AI applications and suggests further exploration of related topics.
Key Takeaways
- •Interdisciplinary collaboration is crucial for effective AI applications.
- •Social scientists and computer scientists approach AI model assessment differently.
- •The article highlights real-world projects using AI for social good, such as HIV prevention and housing resource allocation.
Reference
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