Madanchian Mitra, Taherdoost Hamed
Department of Arts, Communications, and Social Sciences, School of Arts, Science, and Technology, University Canada West, Vancouver, BC, Canada.
GUS Institute, Global University Systems, London, United Kingdom.
Front Artif Intell. 2025 Jul 16;8:1619029. doi: 10.3389/frai.2025.1619029. eCollection 2025.
As artificial intelligence (AI) becomes integral to organizational transformation, ethical adoption has emerged as a strategic concern. This paper reviews ethical theories, governance models, and implementation strategies that enable responsible AI integration in business contexts. It explores how ethical theories such as utilitarianism, deontology, and virtue ethics inform practical models for AI deployment. Furthermore, the paper investigates governance structures and stakeholder roles in shaping accountability and transparency, and examines frameworks that guide strategic risk assessment and decision-making. Emphasizing real-world applicability, the study offers an integrated approach that aligns ethics with performance outcomes, contributing to organizational success. This synthesis aims to support firms in embedding responsible AI principles into innovation strategies that balance compliance, trust, and value creation.
随着人工智能（AI）成为组织转型不可或缺的一部分，道德采用已成为一个战略关注点。本文回顾了道德理论、治理模型和实施策略，这些能够使人工智能在商业环境中得到负责任的整合。它探讨了诸如功利主义、义务论和美德伦理学等道德理论如何为人工智能部署的实际模型提供指导。此外，本文研究了治理结构和利益相关者在塑造问责制和透明度方面的作用，并审视了指导战略风险评估和决策的框架。该研究强调实际适用性，提供了一种将道德与绩效结果相结合的综合方法，为组织成功做出贡献。这种综合旨在支持企业将负责任的人工智能原则融入创新战略，以平衡合规、信任和价值创造。
