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The Gradient: Perspectives on AI

Terry Winograd: AI, HCI, Language, and Cognition

Aug 24, 2023
01:33:21
Snipd AI
Terry Winograd, Professor Emeritus of Computer Science at Stanford University, shares insights on the atmosphere, conflicts, and collaborations within the MIT AI lab. He discusses the transition from AI to HCI, explores the impact of chatbots on information access and verification, and addresses the challenges of trust in journalism. Winograd also emphasizes the evolving role of HCI in addressing societal issues and the importance of trustworthy AI systems.
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Podcast summary created with Snipd AI

Quick takeaways

  • The shift from AI to HCI involved focusing on improving human-computer interaction rather than mimicking human intelligence.
  • Balancing the useful capabilities of AI with human concerns and responsibility is an ongoing challenge for society.

Deep dives

Transition from AI to HCI

During the transition from AI to HCI, the focus shifted from getting computers to mimic human intelligence to making them work well with people. This shift was driven by the realization that the symbolic approach in AI was not progressing towards a true understanding of language. As a result, the Stanford HCI group was founded in 1991 to explore how to improve human-computer interaction. Within this field, projects ranged from eye gaze research to designing systems for efficient and relevant information retrieval.

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