Town Hall Seattle Science Series cover image

Town Hall Seattle Science Series

241. Gary F. Marcus with Ted Chiang How to Make AI Work for Us (And Not the Other Way Around)

Nov 20, 2024
Gary F. Marcus, a best-selling author and AI expert, teams up with acclaimed sci-fi writer Ted Chiang to explore the complex landscape of artificial intelligence. They delve into the ethical implications of AI, advocating for technology aligned with human rights. The discussion reveals the whims and limitations of AI language models, the risks of generative AI, and the need for robust policies. They emphasize the importance of understanding causal reasoning in AI and the challenges of integrating personal AI assistants into our lives, urging a balance between innovation and accountability.
01:26:17

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Quick takeaways

  • Generative AI raises concerns over its factual accuracy, often producing misleading information that requires human validation for reliability.
  • Harms associated with AI, including misinformation and bias, necessitate a robust regulatory framework to ensure transparency and accountability.

Deep dives

The State of AI and Generative Technology

Currently, there is a prevalent focus on generative AI, which raises questions about whether it represents the type of artificial intelligence we truly desire or simply the best technological option available at this moment. Generative AI has significant limitations, including a tendency to produce misinformation and an overall lack of factual accuracy. Its function can be termed as 'rough draft AI' since the results it produces often require human validation and oversight to determine their reliability. Comparatively, there exist more stable forms of AI, such as navigation systems, which function without the same level of ambiguity or risk.

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