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Artificial Intelligence Policy Framework for Institutions

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arxiv 2412.02834 v1 pith:LAM6CRP4 submitted 2024-12-03 cs.CY

classification cs.CY
keywords institutionsartificialdevelopingethicalframeworkimportanceintelligencepolicy
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Artificial intelligence (AI) has transformed various sectors and institutions, including education and healthcare. Although AI offers immense potential for innovation and problem solving, its integration also raises significant ethical concerns, such as privacy and bias. This paper delves into key considerations for developing AI policies within institutions. We explore the importance of interpretability and explainability in AI elements, as well as the need to mitigate biases and ensure privacy. Additionally, we discuss the environmental impact of AI and the importance of energy-efficient practices. The culmination of these important components is centralized in a generalized framework to be utilized for institutions developing their AI policy. By addressing these critical factors, institutions can harness the power of AI while safeguarding ethical principles.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Pilot Study on Generative AI and Critical Thinking in Higher Education Classrooms

    cs.CY 2025-08 conditional novelty 5.0 of 10

    A short video lesson on evaluating generative AI output was associated with a statistically significant but fragile improvement in one course's AI-critique assignment, in a small non-randomized pilot.

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