Eps. 95 - Understanding Data Integrity and Liability in Generative AI with Joy Butler
Are you confident in the origins of your AI training data?
In this episode, we unravel the complexities of generative AI with IP attorney Joy Butler, delving into data provenance, liability, and the transformative role of diversity in AI.
We discuss the importance of verifying your AI training data to avoid copyright issues, the need to avoid inputting confidential information in AI prompts and ensuring compliance with contractual obligations, and how AI companies are offering indemnification and adopting licensing models to provide legal assurances and mitigate liabilities.
Tune in to stay ahead in the fast-evolving AI domain!
🔍Key Takeaways:
Transparency and Traceability: Always verify the source of your AI training data to avoid copyright violations and ensure compliance.
Best Practices for AI Use: Be cautious about inputting confidential information in AI prompts and ensure your AI usage aligns with contractual obligations.
Indemnification and Licensing: AI companies are increasingly offering indemnification and adopting licensing models to provide users with legal assurances and mitigate liabilities.
Resources Mentioned:
Connect with Erin to learn how to use intellectual property to increase your income and impact. hourlytoexit.com/podcast.
Erin's LinkedIn Page: www.linkedin.com/in/erinaustin/
Think Beyond IP YouTube Page: www.youtube.com/channel/UCVztXnDYnZ83oIb-EGX9IGA/videos
More About Our Guest
Joy R. Butler helps companies and investors craft innovative business models, mitigate risks and devise strategies for ventures into new markets, technologies, and product lines in the entertainment and digital technology industries.
She is a graduate of Harvard College and Harvard Law School.
Find Our Guest
Website: joybutler.com
LinkedIn: linkedin.com/in/joybutler
Music credit: Yes She Can by Tiny Music
A Team Dklutr production
For a full transcription of this episode, click here.