Interview with Luis Seco
summary
AI exposes baked-in biases by acting as AI as a mirror, surfacing behaviors society might not notice and forcing policy and design choices; technical trustworthiness and public trust are both hard to achieve and require new curricula and education to rediscover ethics and emotion; financial firms already deploy domain-specific models so climate risk becomes a tradable input and attracts bespoke AI tools; AI excels at answers while humans must get better at asking the right questions.
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chapters (5)
- 0:00Start
- 0:06Do you think AI will help answer some social questions and generate more discussions on
- 1:46What do you think will be more difficult getting AI to be fully trustworthy when making decisions or having those decisions be trusted by the general populace?
- 3:20What do you think is more difficult incorporating AI into the financial sector or the climate
- 4:57What excites you the most about AI in the future?
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