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Dynamo AI: Trust, Safety, and Ethics in Generative AI

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Manage episode 475294108 series 3203753
Content provided by Arun Trivedi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Arun Trivedi 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.

Dynamo AI's Eric Lin discusses the company's focus on enabling enterprises to deploy compliant and responsible generative AI. He highlights the challenges of real-world AI deployment, particularly around safety, privacy, and ethics, contrasting them with the technological advancements in model development. Lin explains Dynamo AI's role as a layer on top of existing models, providing customizable guardrails to address specific enterprise needs like preventing hallucinations and ensuring data security, using Experian as a key example. He also touches upon the importance of privacy-preserving AI techniques, AI governance challenges, the balance between innovation and regulation, and the future of explainable AI.

  continue reading

59 episodes

Artwork
iconShare
 
Manage episode 475294108 series 3203753
Content provided by Arun Trivedi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Arun Trivedi 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.

Dynamo AI's Eric Lin discusses the company's focus on enabling enterprises to deploy compliant and responsible generative AI. He highlights the challenges of real-world AI deployment, particularly around safety, privacy, and ethics, contrasting them with the technological advancements in model development. Lin explains Dynamo AI's role as a layer on top of existing models, providing customizable guardrails to address specific enterprise needs like preventing hallucinations and ensuring data security, using Experian as a key example. He also touches upon the importance of privacy-preserving AI techniques, AI governance challenges, the balance between innovation and regulation, and the future of explainable AI.

  continue reading

59 episodes

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