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Published Nov 27, 2023

Deploying LLMs

Join Aaron Reich and Priyanka Shah as they delve into the transformative impact of AI technologies on organizational dynamics, the strategic deployment of large language models, and the essential governance frameworks required for responsible AI implementation, all while balancing innovation with ethical considerations.
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Episode Highlights

  • Governance

    Aaron Reich emphasizes the importance of governance policies in the responsible use of AI. He highlights the need for organizations to establish clear principles, such as transparency, to ensure ethical AI deployment. Avanade, for instance, has implemented a policy where AI-generated emails include a footer indicating their origin, demonstrating a commitment to transparency 1.

    We have this principle and we're trying to live and breathe these values around the things that we believe from responsible AI.

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    Priyanka Shah adds that robust governance frameworks are essential for both data and AI models, underscoring the importance of ethical practices in AI usage 1.

       

    Trust

    Priyanka Shah discusses the necessity of trust frameworks in AI, particularly through strategies like indemnifying AI-generated results. She stresses that disclaimers are crucial to inform users about AI-generated content, ensuring they exercise caution with AI recommendations 2.

    There has to be this entire framework where your model is assessed for fairness, for ethical usage, for responsible usage, before you make it available.

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    This approach is vital in sectors like finance and healthcare, where data confidentiality and ethical use are paramount 2.

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