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.

翻译：人工智能（AI）已深刻变革了包括教育和医疗在内的多个领域与机构。尽管AI为创新和问题解决提供了巨大潜力，但其整合应用也引发了隐私与偏见等重大伦理关切。本文深入探讨了机构制定AI政策的核心考量要素。我们分析了AI系统中可解释性与可说明性的重要意义，以及缓解偏见、确保隐私的必要性。此外，本文还讨论了AI的环境影响与能效实践的重要性。这些关键要素最终整合形成通用框架，可供各机构制定AI政策时参考使用。通过应对这些关键因素，机构能够在运用AI力量的同时，有效维护伦理原则。