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Content provided by Erin Austin. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Erin Austin 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.
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E91: Behind the AI Curtain: Sourcing: A Look at the Data That Powers Generative AI

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Manage episode 415422199 series 3327674
Content provided by Erin Austin. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Erin Austin 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 our latest episode, hosted by Erin, we dive deep into the complexities of AI training data, exploring its sources, legal ramifications, and evolving landscape. A must-listen for anyone curious about how generative AI models like ChatGPT are trained and the ethical and legal debates they stir.

Here are three key takeaways from the discussion:

  • Diverse Data Sources: AI platforms are now shifting from relying on web scraping to purchasing licensed data sets, including private archives from major tech players like Meta and Microsoft, ensuring richer and legally compliant training materials.
  • Synthetic Data Innovation: The creation of synthetic data by AI to train other AI systems shows promise for enhancing privacy and data security, pivotal for sectors like healthcare and finance.
  • Legal and Ethical Considerations: As AI consumes a vast array of content, issues surrounding copyright infringement, privacy, and contractual breaches come to the forefront, highlighting the importance of adhering to legal standards and ethical practices.

Stay informed about the dynamic world of AI and ensure you're up to speed on the implications of AI developments on privacy, creativity, and legal standards.

Connect with Erin to learn how to use intellectual property to increase your income and impact. hourlytoexit.com/podcast.

Erin's LinkedIn Page: https://www.linkedin.com/in/erinaustin/

Hourly to Exit is Sponsored By:

This week’s episode of Hourly to Exit is sponsored by the NDA Navigator. Non-disclosure agreements (NDAs) are the bedrock of protecting your business's confidential information. However, facing a constant stream of NDAs can be overwhelming, especially when time and budget constraints prevent you from seeking full legal review. That's where the NDA Navigator comes to your rescue. Designed specifically for entrepreneurs, consultants, and business owners with corporate clients, the NDA Navigator is your guide to understanding, negotiating, and implementing NDAs. Empower yourself with legal insights and practical tools when you don’t have the time or funds to invest in a full legal review. Get 20% off by using the coupon code “H2E”. You can find it at www.protectyourexpertise.com.

Think Beyond IP YouTube Page: https://www.youtube.com/channel/UCVztXnDYnZ83oIb-EGX9IGA/videos

Music credit: Yes She Can by Tiny Music

A Team Dklutr production

  continue reading

94 episodes

Artwork
iconShare
 
Manage episode 415422199 series 3327674
Content provided by Erin Austin. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Erin Austin 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 our latest episode, hosted by Erin, we dive deep into the complexities of AI training data, exploring its sources, legal ramifications, and evolving landscape. A must-listen for anyone curious about how generative AI models like ChatGPT are trained and the ethical and legal debates they stir.

Here are three key takeaways from the discussion:

  • Diverse Data Sources: AI platforms are now shifting from relying on web scraping to purchasing licensed data sets, including private archives from major tech players like Meta and Microsoft, ensuring richer and legally compliant training materials.
  • Synthetic Data Innovation: The creation of synthetic data by AI to train other AI systems shows promise for enhancing privacy and data security, pivotal for sectors like healthcare and finance.
  • Legal and Ethical Considerations: As AI consumes a vast array of content, issues surrounding copyright infringement, privacy, and contractual breaches come to the forefront, highlighting the importance of adhering to legal standards and ethical practices.

Stay informed about the dynamic world of AI and ensure you're up to speed on the implications of AI developments on privacy, creativity, and legal standards.

Connect with Erin to learn how to use intellectual property to increase your income and impact. hourlytoexit.com/podcast.

Erin's LinkedIn Page: https://www.linkedin.com/in/erinaustin/

Hourly to Exit is Sponsored By:

This week’s episode of Hourly to Exit is sponsored by the NDA Navigator. Non-disclosure agreements (NDAs) are the bedrock of protecting your business's confidential information. However, facing a constant stream of NDAs can be overwhelming, especially when time and budget constraints prevent you from seeking full legal review. That's where the NDA Navigator comes to your rescue. Designed specifically for entrepreneurs, consultants, and business owners with corporate clients, the NDA Navigator is your guide to understanding, negotiating, and implementing NDAs. Empower yourself with legal insights and practical tools when you don’t have the time or funds to invest in a full legal review. Get 20% off by using the coupon code “H2E”. You can find it at www.protectyourexpertise.com.

Think Beyond IP YouTube Page: https://www.youtube.com/channel/UCVztXnDYnZ83oIb-EGX9IGA/videos

Music credit: Yes She Can by Tiny Music

A Team Dklutr production

  continue reading

94 episodes

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