In AI We Trust?

By: Miriam Vogel
  • Summary

  • In AI We Trust? is a podcast with Miriam Vogel of EqualAI and Kay Firth-Butterfield of the Centre for Trustworthy Technology that surveys the global landscape for inspiration and lessons in developing responsible, trustworthy artificial intelligence. Each episode aims to answer a ‘big question' in ethical AI with prominent lawmakers, leading thinkers, and internationally renowned authors.
    © 2024 Miriam Vogel
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Episodes
  • Senator Mike Rounds (R-SD): Sen. Rounds' 2025 Message: Why Every Senate Committee is Talking AI This Congress
    Jan 17 2025

    In this episode of #InAIWeTrust, Senator Mike Rounds (R-SD) discusses the transformative role of AI and the Senate’s efforts to support its innovation and development. From working to advance AI-driven health care solutions to ensuring U.S. leadership in innovation, he shares legislative priorities and insights from the Senate AI Insight Forums and underscores the importance of AI literacy and collaboration across industry, reminding us: “AI is real, it’s here, it’s not going away.”

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    30 mins
  • Vilas Dhar (McGovern Foundation): AI for the people and by the people: Year-in-Review and 2025 Predictions
    Dec 20 2024

    In this 2024 year-end episode of In AI We Trust?, Vilas Dhar of the Patrick J. McGovern Foundation and Miriam Vogel of EqualAI review 2024 and discuss predictions for the year ahead.

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    37 mins
  • Elizabeth Kelly (AISI): How will the US AI Safety Institute lead the US and globe in AI safety?
    Oct 31 2024

    In this episode of #InAIWeTrust Elizabeth Kelly, director of the U.S. Artificial Intelligence Safety Institute (AISI) explains the significance of last week’s National Security Memorandum (NSM) on AI, shares her experience working on the Biden Executive Order on AI, and provides insight into the US AISI including: recent guidance for companies to mitigate AI risks, partnerships with Anthropic and Open AI; the upcoming inaugural convening of International Network of AI Safety Institutes.

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    26 mins

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