• Let`s talk about India's AI Governance Framework

  • 2025/01/08
  • 再生時間: 17 分
  • ポッドキャスト

Let`s talk about India's AI Governance Framework

  • サマリー

  • Hi, I'm Patrick Upmann, an expert in AI ethics, AI governance data privacy and regulatory frameworks. With over 20 years of experience in data strategy, data governance, data privacy and AI compliance, I am passionate about how we can use AI responsibly while addressing its technical challenges. As the founder of ⁠AIGN⁠, I present another new podcast episode today!

    Welcome to another episode of our podcast! Today, we’re diving into a highly relevant topic—the development of AI governance policies in India. A recent report analyzes existing legal gaps and offers valuable recommendations for a forward-looking strategy.

    The report emphasizes the need for a comprehensive governance framework that prioritizes transparency, accountability, and protection against AI-related harms. A key proposal is the establishment of a coordination committee and a technical secretariat to oversee the AI ecosystem and promote industry self-regulation.

    Additionally, the report highlights the importance of technological measures to mitigate risks. It suggests creating an AI incident database to systematically document and analyze AI-related events. This approach would not only enhance transparency but also provide a foundation for future safety strategies.

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あらすじ・解説

Hi, I'm Patrick Upmann, an expert in AI ethics, AI governance data privacy and regulatory frameworks. With over 20 years of experience in data strategy, data governance, data privacy and AI compliance, I am passionate about how we can use AI responsibly while addressing its technical challenges. As the founder of ⁠AIGN⁠, I present another new podcast episode today!

Welcome to another episode of our podcast! Today, we’re diving into a highly relevant topic—the development of AI governance policies in India. A recent report analyzes existing legal gaps and offers valuable recommendations for a forward-looking strategy.

The report emphasizes the need for a comprehensive governance framework that prioritizes transparency, accountability, and protection against AI-related harms. A key proposal is the establishment of a coordination committee and a technical secretariat to oversee the AI ecosystem and promote industry self-regulation.

Additionally, the report highlights the importance of technological measures to mitigate risks. It suggests creating an AI incident database to systematically document and analyze AI-related events. This approach would not only enhance transparency but also provide a foundation for future safety strategies.

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