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Generative AI and the Law: Navigating Emerging Regulations

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Manage episode 467287799 series 3609122
Content provided by 8th Light. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by 8th Light or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode of The Fuse & The Flint, hosts Doug Gapinski and Amanda Graham trade thoughts on generative AI regulation. They discuss how global jurisdictions are managing AI risks, the responsibilities of developers and deployers, and practical strategies for compliance and governance in an industry with rapid growth.

  • (04:11) Developers vs. deployers: Amanda highlights the distinct legal and operational responsibilities of those creating and implementing AI tools.
  • (05:00) Key legal cases shaping AI: Doug discusses how lawsuits, such as record labels suing AI music platforms, could establish precedents for training data usage.
  • (13:00) Technologies for AI compliance: Doug highlights tools for explainability, privacy enhancement, and continuous monitoring as vital investments for regulated industries.

Amanda Graham, Senior Director, Strategic Solutions

As an experienced software consultant, Amanda Graham has built a number of organizations from the ground up and helped numerous companies leverage technology and deliver stellar customer-focused programs. As Senior Director, Strategic Solutions Amanda is a proactive software development leader and partner. She provides technical leadership and partners with new accounts on achieving success.

Doug Gapinski: Senior Account & Delivery Director

With over a decade of experience as a team lead and project manager, Doug Gapinski is a Seattle-based Account Director managing long-term product builds with volatile scope. He advocates for quality, transparency, and a shared understanding of project constraints while applying agile methodologies across decentralized teams.

Key Points:

  • AI developers and deployers must stay informed about sector-specific and jurisdictional laws.
  • Transparency in AI decision-making processes is essential to build trust and mitigate legal risks.
  • Invest in compliance tools and adopt governance frameworks. Privacy-enhancing technologies, explainability documentation, and monitoring systems are critical for navigating complex regulations.
  • Focus on multidisciplinary collaboration to help identify risks across technical, ethical, and legal dimensions.

Resources:


Thanks to Doug and Amanda for this discussion on navigating the legal and ethical challenges of generative AI. If you'd like to receive new episodes as they're published, please follow The Fuse & The Flint on Apple Podcasts, Spotify, or wherever you get your podcasts. If you enjoyed this episode, please consider leaving a review on Apple Podcasts or Spotify. It really helps others find the show.

Podcast episode production by Dante32.

  continue reading

9 episodes

Artwork
iconShare
 
Manage episode 467287799 series 3609122
Content provided by 8th Light. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by 8th Light or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode of The Fuse & The Flint, hosts Doug Gapinski and Amanda Graham trade thoughts on generative AI regulation. They discuss how global jurisdictions are managing AI risks, the responsibilities of developers and deployers, and practical strategies for compliance and governance in an industry with rapid growth.

  • (04:11) Developers vs. deployers: Amanda highlights the distinct legal and operational responsibilities of those creating and implementing AI tools.
  • (05:00) Key legal cases shaping AI: Doug discusses how lawsuits, such as record labels suing AI music platforms, could establish precedents for training data usage.
  • (13:00) Technologies for AI compliance: Doug highlights tools for explainability, privacy enhancement, and continuous monitoring as vital investments for regulated industries.

Amanda Graham, Senior Director, Strategic Solutions

As an experienced software consultant, Amanda Graham has built a number of organizations from the ground up and helped numerous companies leverage technology and deliver stellar customer-focused programs. As Senior Director, Strategic Solutions Amanda is a proactive software development leader and partner. She provides technical leadership and partners with new accounts on achieving success.

Doug Gapinski: Senior Account & Delivery Director

With over a decade of experience as a team lead and project manager, Doug Gapinski is a Seattle-based Account Director managing long-term product builds with volatile scope. He advocates for quality, transparency, and a shared understanding of project constraints while applying agile methodologies across decentralized teams.

Key Points:

  • AI developers and deployers must stay informed about sector-specific and jurisdictional laws.
  • Transparency in AI decision-making processes is essential to build trust and mitigate legal risks.
  • Invest in compliance tools and adopt governance frameworks. Privacy-enhancing technologies, explainability documentation, and monitoring systems are critical for navigating complex regulations.
  • Focus on multidisciplinary collaboration to help identify risks across technical, ethical, and legal dimensions.

Resources:


Thanks to Doug and Amanda for this discussion on navigating the legal and ethical challenges of generative AI. If you'd like to receive new episodes as they're published, please follow The Fuse & The Flint on Apple Podcasts, Spotify, or wherever you get your podcasts. If you enjoyed this episode, please consider leaving a review on Apple Podcasts or Spotify. It really helps others find the show.

Podcast episode production by Dante32.

  continue reading

9 episodes

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