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The AI Canvas - The Legal Implications of Generative AI with Matt Hervey

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Manage episode 367912746 series 3483950
Content provided by Applied Data Science Partners. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Applied Data Science Partners 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://player.fm/legal.

In this intriguing episode of the AI Canvas podcast, host David Foster engages in an insightful conversation with Matt Hervey, an expert in AI and IP law. Together, they explore the complex relationship between artificial intelligence and intellectual property rights, covering patenting technology, copyright law, challenges in commercializing AI models, ownership of AI-generated content, and more.
Join David and Matt as they navigate the landscape of AI innovation and its impact on the legal sphere. Gain insights into major topics on the minds of IP lawyers and the challenges posed by Generative AI, image manipulation, and deepfakes. Discover the future trends and considerations in AI art, including ownership arrangements and legal requirements.
Tune in to this enlightening discussion with Matt Hervey, an expert in AI and IP law, as they unravel the intricacies of AI and its legal implications.
Timestamps:
00:00 Introduction and welcome
03:10 Patenting technology and commercial deals in AI
07:25 Fair use and copyright law in the US
11:40 Challenges in commercializing AI models
16:15 Questions about copying, models, and outputs in generative AI
21:05 Predicting future legal cases and the role of judges
26:20 Image manipulation, deepfakes, and proving authenticity
31:00 Ownership of AI-generated content
35:45 Debates and considerations regarding ownership
40:10 Legal requirements and considerations for AI-generated art
44:20 Risks and concerns for businesses using AI models
48:30 Copyright protection for human-produced content
52:10 Labeling AI-generated content in metadata
56:00 Gray areas in copyright and creative processes involving AI
59:30 Copyright infringement and proving copying
1:03:20 Conclusion
Connect with Matt Hervey
Connect with David Foster
Follow ADSP on LinkedIn for more AI insights and discussions.
ADSP is an innovative consultancy dedicated to delivering value through the application of Data Science, AI and Generative AI. We build bespoke solutions that enable people and companies to thrive.
Check out our website here
For access to the condensed notes and full transcript, including key quotes and takeaways please get in touch at hello@adsp.ai
Subscribe to the AI Canvas podcast for more exciting episodes exploring the intersection of AI and various industries.

  continue reading

12 episodes

Artwork
iconShare
 
Manage episode 367912746 series 3483950
Content provided by Applied Data Science Partners. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Applied Data Science Partners 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://player.fm/legal.

In this intriguing episode of the AI Canvas podcast, host David Foster engages in an insightful conversation with Matt Hervey, an expert in AI and IP law. Together, they explore the complex relationship between artificial intelligence and intellectual property rights, covering patenting technology, copyright law, challenges in commercializing AI models, ownership of AI-generated content, and more.
Join David and Matt as they navigate the landscape of AI innovation and its impact on the legal sphere. Gain insights into major topics on the minds of IP lawyers and the challenges posed by Generative AI, image manipulation, and deepfakes. Discover the future trends and considerations in AI art, including ownership arrangements and legal requirements.
Tune in to this enlightening discussion with Matt Hervey, an expert in AI and IP law, as they unravel the intricacies of AI and its legal implications.
Timestamps:
00:00 Introduction and welcome
03:10 Patenting technology and commercial deals in AI
07:25 Fair use and copyright law in the US
11:40 Challenges in commercializing AI models
16:15 Questions about copying, models, and outputs in generative AI
21:05 Predicting future legal cases and the role of judges
26:20 Image manipulation, deepfakes, and proving authenticity
31:00 Ownership of AI-generated content
35:45 Debates and considerations regarding ownership
40:10 Legal requirements and considerations for AI-generated art
44:20 Risks and concerns for businesses using AI models
48:30 Copyright protection for human-produced content
52:10 Labeling AI-generated content in metadata
56:00 Gray areas in copyright and creative processes involving AI
59:30 Copyright infringement and proving copying
1:03:20 Conclusion
Connect with Matt Hervey
Connect with David Foster
Follow ADSP on LinkedIn for more AI insights and discussions.
ADSP is an innovative consultancy dedicated to delivering value through the application of Data Science, AI and Generative AI. We build bespoke solutions that enable people and companies to thrive.
Check out our website here
For access to the condensed notes and full transcript, including key quotes and takeaways please get in touch at hello@adsp.ai
Subscribe to the AI Canvas podcast for more exciting episodes exploring the intersection of AI and various industries.

  continue reading

12 episodes

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