• Managing AI’s Carbon Footprint

  • 2024/01/10
  • 再生時間： 34 分
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Managing AI’s Carbon Footprint

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  • Artificial Intelligence is on every business leader’s agenda. How do we make sense of the fast-moving new developments in AI over the past year? Azeem Azhar returns to bring clarity to leaders who face a complicated information landscape.

    This week, Azeem joins Sasha Luccioni, an AI researcher and climate lead at Hugging Face, to shed light on the environmental footprint and other immediate impacts of AI, and how they compare to more long-term challenges.

    They cover:

    • The energy consumption and carbon impact of AI models — and how researchers have gone about measuring it.
    • The tangible economic and social impacts of AI, and how focusing on existential risks now hurt our chances of addressing the immediate risks of AI deployment.
    • How regulation and governance could evolve to address the most pressing questions of the industry.

    @azeem
    @SashaMTL

    Further resources:

    • Power Hungry Processing: Watt’s Driving the Cost of AI Deployment (Alexandra Sasha Luccioni et al, 2023)
    • The Open-Source Future of Artificial Intelligence (Exponential View, 2023)
    • AI is Dangerous, But Not For the Reasons You Think (TED, Sasha Luccioni, 2023)
    続きを読む 一部表示

あらすじ・解説

Artificial Intelligence is on every business leader’s agenda. How do we make sense of the fast-moving new developments in AI over the past year? Azeem Azhar returns to bring clarity to leaders who face a complicated information landscape.

This week, Azeem joins Sasha Luccioni, an AI researcher and climate lead at Hugging Face, to shed light on the environmental footprint and other immediate impacts of AI, and how they compare to more long-term challenges.

They cover:

  • The energy consumption and carbon impact of AI models — and how researchers have gone about measuring it.
  • The tangible economic and social impacts of AI, and how focusing on existential risks now hurt our chances of addressing the immediate risks of AI deployment.
  • How regulation and governance could evolve to address the most pressing questions of the industry.

@azeem
@SashaMTL

Further resources:

  • Power Hungry Processing: Watt’s Driving the Cost of AI Deployment (Alexandra Sasha Luccioni et al, 2023)
  • The Open-Source Future of Artificial Intelligence (Exponential View, 2023)
  • AI is Dangerous, But Not For the Reasons You Think (TED, Sasha Luccioni, 2023)
続きを読む 一部表示

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