• Navigating AI Laws: From Global Rules to State Realities

  • 2025/03/17
  • 再生時間: 31 分
  • ポッドキャスト

Navigating AI Laws: From Global Rules to State Realities

  • サマリー

  • Gary and Scott explore the dynamic legal landscape of AI and machine learning, offering business leaders worldwide a roadmap to navigate compliance and innovation. This episode spans global regulations, U.S. federal shifts, and state-level actions—packed with practical strategies and tech insights.

    Global AI Legislation:
    Gary starts with the EU’s AI Act (2024-2027), a risk-based law banning mass surveillance AI while enforcing audits for high-risk systems like hiring tools—fines up to €35M or 7% of global turnover. Scott details its tech demands: SHAP for audits, LIME for transparency. The EU’s chaotic trilogue birthed a deal balancing startups like Mistral with big-tech scrutiny. China’s 2023 rules mandate ideological AI and watermarking ($14M fines), while South Korea, Switzerland, and the UAE diversify the race. Gary urges scalable governance; Scott flags audits and APIs.

    U.S. Federal Government and AI:
    Scott notes that there is no federal AI law—FTC’s Section 5 ($2M chatbot fine) and Title VII tackle bias instead. Gary unpacks Trump’s Jan 20, 2025, EO, axing NIST’s risk frameworks to boost dominance, tied to Project Stargate’s $500B data center push (OpenAI, xAI). Defense AI surges, but Biden’s safety EO is out. Congress stalls—NO FAKES Act passes, accountability lags. Scott warns of agency curveballs; Gary pushes self-regulation with SHAP to dodge scrutiny.

    U.S. State-Level AI Developments:
    Gary highlights Colorado’s 2026 AI Act ($20K fines) for high-risk AI fairness tests. Scott dives into California’s 2025 laws—SB 1047’s deepfake ban ($10M fines) uses ResNet for detection, AB 2013 demands LLM transparency. Illinois protects teachers, New York audits lending, and Massachusetts’ H. 4123 targets 10 exaFLOP giants like Colossus for safety (misinformation risks). Gary touts TensorFlow Fairness for bias sweeps; Scott stresses modular policies and Dioptra testbeds.

    Gary and Scott close with a call to agility—embed compliance, leverage tech, and lead amid lawmaking chaos. Join the global conversation at macroaipodcast.com!

    Send a Text to the AI Guides on the show!


    About your AI Guides

    Gary Sloper

    https://www.linkedin.com/in/gsloper/

    Scott Bryan

    https://www.linkedin.com/in/scottjbryan/

    Macro AI Website:

    https://www.macroaipodcast.com/

    Macro AI LinkedIn Page:

    https://www.linkedin.com/company/macro-ai-podcast/



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あらすじ・解説

Gary and Scott explore the dynamic legal landscape of AI and machine learning, offering business leaders worldwide a roadmap to navigate compliance and innovation. This episode spans global regulations, U.S. federal shifts, and state-level actions—packed with practical strategies and tech insights.

Global AI Legislation:
Gary starts with the EU’s AI Act (2024-2027), a risk-based law banning mass surveillance AI while enforcing audits for high-risk systems like hiring tools—fines up to €35M or 7% of global turnover. Scott details its tech demands: SHAP for audits, LIME for transparency. The EU’s chaotic trilogue birthed a deal balancing startups like Mistral with big-tech scrutiny. China’s 2023 rules mandate ideological AI and watermarking ($14M fines), while South Korea, Switzerland, and the UAE diversify the race. Gary urges scalable governance; Scott flags audits and APIs.

U.S. Federal Government and AI:
Scott notes that there is no federal AI law—FTC’s Section 5 ($2M chatbot fine) and Title VII tackle bias instead. Gary unpacks Trump’s Jan 20, 2025, EO, axing NIST’s risk frameworks to boost dominance, tied to Project Stargate’s $500B data center push (OpenAI, xAI). Defense AI surges, but Biden’s safety EO is out. Congress stalls—NO FAKES Act passes, accountability lags. Scott warns of agency curveballs; Gary pushes self-regulation with SHAP to dodge scrutiny.

U.S. State-Level AI Developments:
Gary highlights Colorado’s 2026 AI Act ($20K fines) for high-risk AI fairness tests. Scott dives into California’s 2025 laws—SB 1047’s deepfake ban ($10M fines) uses ResNet for detection, AB 2013 demands LLM transparency. Illinois protects teachers, New York audits lending, and Massachusetts’ H. 4123 targets 10 exaFLOP giants like Colossus for safety (misinformation risks). Gary touts TensorFlow Fairness for bias sweeps; Scott stresses modular policies and Dioptra testbeds.

Gary and Scott close with a call to agility—embed compliance, leverage tech, and lead amid lawmaking chaos. Join the global conversation at macroaipodcast.com!

Send a Text to the AI Guides on the show!


About your AI Guides

Gary Sloper

https://www.linkedin.com/in/gsloper/

Scott Bryan

https://www.linkedin.com/in/scottjbryan/

Macro AI Website:

https://www.macroaipodcast.com/

Macro AI LinkedIn Page:

https://www.linkedin.com/company/macro-ai-podcast/



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