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Cohere Podcast

Responsible AI: Appropriate Trust and LLM Fabrication with Mihaela Vorvoreanu, PhD

Jul 10, 2023
Mihaela Vorvoreanu, Director of UX Research and RAI Education for Microsoft's Aether, challenges the notion of AI as super capable, discussing the need for accountability in AI systems. She reframes Large Language Models (LLMs) as systems of fabrication, shedding light on common errors and implications for users. The episode offers valuable perspectives on responsible AI, making the field more comprehensible. Topics include responsible AI, appropriate trust, LLMs as systems of fabrication, and Aether's research direction.
34:52

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Quick takeaways

  • Appropriate trust in AI is crucial for users and can be promoted through tools like the HAC Stalkit, which provides guidelines for human-AI interaction.
  • Large language models (LLMs) fabricate sentences and responses, but verifying their outputs is challenging due to information and AI literacy barriers.

Deep dives

Building Trust in AI

Appropriate trust in AI is crucial for users. Overreliance on AI is a common problem where users accept incorrect AI outputs. Mitigating overreliance is challenging and can backfire. To build appropriate trust, users need to verify AI outputs, but verification can be time-consuming and requires information and AI literacy. Tools like the HAC Stalkit, a set of guidelines for human-AI interaction, can help designers and developers create interfaces that promote appropriate trust. The future of AI research includes addressing representational harms, misinformation, and disinformation, as well as exploring novel uses of large language models.

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