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LLM Explainability with Umang Bhatt

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Manage episode 472049548 series 3587588
内容由Enzai提供。所有播客内容(包括剧集、图形和播客描述)均由 Enzai 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

This episode of the AI Governance Podcast features Dr. Umang Bhatt. Umang is an Assistant Professor and Faculty Fellow at the Center for Data Science at New York University, a Senior Research Associate at the Alan Turing Institute and a leading researcher in the fields of AI explainability and transparency.

Umang joined Enzai’s Var Shankar to discuss:

  • How organizations might explain the workings of generative AI systems to end-users
  • Practical approaches to restricting access to generative AI systems, their outputs, and what they can be used for
  • Why it is important to close the loop on feedback from internal stakeholders
  • How AI can have a positive impact globally by personalizing education
  • How to promote responsible AI approaches from beyond North America, the EU and China
  continue reading

12集单集

Artwork
icon分享
 
Manage episode 472049548 series 3587588
内容由Enzai提供。所有播客内容(包括剧集、图形和播客描述)均由 Enzai 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

This episode of the AI Governance Podcast features Dr. Umang Bhatt. Umang is an Assistant Professor and Faculty Fellow at the Center for Data Science at New York University, a Senior Research Associate at the Alan Turing Institute and a leading researcher in the fields of AI explainability and transparency.

Umang joined Enzai’s Var Shankar to discuss:

  • How organizations might explain the workings of generative AI systems to end-users
  • Practical approaches to restricting access to generative AI systems, their outputs, and what they can be used for
  • Why it is important to close the loop on feedback from internal stakeholders
  • How AI can have a positive impact globally by personalizing education
  • How to promote responsible AI approaches from beyond North America, the EU and China
  continue reading

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