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Human Centered
Toward Cross-disciplinary Consensus About Our (Mis)Information Environment
Nov 2, 2023
Angela Aristidou, a CASBS fellow, and Phil Howard, a renowned scholar of tech innovation, discuss the challenges of understanding and regulating our information ecosystems, interdisciplinary collaboration, the impact of the information environment, AI language models, and more.
49:07
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Quick takeaways
- Promoting cross-disciplinary collaboration is crucial for addressing social problems and improving public life.
- AI can facilitate scientific consensus-building by helping experts identify points of agreement and surfacing global research.
Deep dives
AI governance as a practical matter for the social science community
In this podcast episode, two scholars, Angelo Aristudu and Phil Howard, discuss the practical implications of AI governance for the social science community. They explore the need for cross-disciplinary collaboration and testing of measures and countermeasures for causal effects. The conversation also delves into the concept of AI voice rights and the challenges social scientists face when using AI to find consensus about the use of AI itself.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode