• George Mason University: Artificial Intelligence Policy Framework for Institutions

  • 2025/01/10
  • 再生時間： 30 分
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George Mason University: Artificial Intelligence Policy Framework for Institutions

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  • Summary of https://arxiv.org/pdf/2412.02834v1

    This paper proposes an AI policy framework for institutions, focusing on the ethical and practical considerations of integrating artificial intelligence, especially generative AI. The framework addresses key issues such as data privacy, bias mitigation, and energy efficiency.

    It emphasizes the importance of interpretability and explainability in AI systems to foster trust and ensure fairness. Case studies illustrate how the framework can be applied in various institutional settings, from academic to medical contexts. The authors also discuss the unique challenges presented by AI in educational environments.
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Summary of https://arxiv.org/pdf/2412.02834v1

This paper proposes an AI policy framework for institutions, focusing on the ethical and practical considerations of integrating artificial intelligence, especially generative AI. The framework addresses key issues such as data privacy, bias mitigation, and energy efficiency.

It emphasizes the importance of interpretability and explainability in AI systems to foster trust and ensure fairness. Case studies illustrate how the framework can be applied in various institutional settings, from academic to medical contexts. The authors also discuss the unique challenges presented by AI in educational environments.
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