Eps. 91 - Behind the AI Curtain: Sourcing: A Look at the Data That Powers Generative AI
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: www.linkedin.com/in/erinaustin/
Think Beyond IP YouTube Page: www.youtube.com/channel/UCVztXnDYnZ83oIb-EGX9IGA/videos
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Music credit: Yes She Can by Tiny Music
A Team Dklutr production
For a full transcription of this episode, click here.