[论文解读] Towards an Ethical and Inclusive Implementation of Artificial Intelligence in Organizations: A Multidimensional Framework

Ernesto Hernández|arXiv (Cornell University)|May 2, 2024

Ethics and Social Impacts of AI被引用 18

一句话总结

本文提出了一个在组织中实现伦理与包容性AI的多维框架，详细描述了四大支柱及互补行动，以指导治理、教育与利益相关者参与。

ABSTRACT

This article analyzes the impact of artificial intelligence (AI) on contemporary society and the importance of adopting an ethical approach to its development and implementation within organizations. It examines the technocritical perspective of some philosophers and researchers, who warn of the risks of excessive technologization that could undermine human autonomy. However, the article also acknowledges the active role that various actors, such as governments, academics, and civil society, can play in shaping the development of AI aligned with human and social values. A multidimensional approach is proposed that combines ethics with regulation, innovation, and education. It highlights the importance of developing detailed ethical frameworks, incorporating ethics into the training of professionals, conducting ethical impact audits, and encouraging the participation of stakeholders in the design of AI. In addition, four fundamental pillars are presented for the ethical implementation of AI in organizations: 1) Integrated values, 2) Trust and transparency, 3) Empowering human growth, and 4) Identifying strategic factors. These pillars encompass aspects such as alignment with the company's ethical identity, governance and accountability, human-centered design, continuous training, and adaptability to technological and market changes. The conclusion emphasizes that ethics must be the cornerstone of any organization's strategy that seeks to incorporate AI, establishing a solid framework that ensures that technology is developed and used in a way that respects and promotes human values.

研究动机与目标

• 在技术批判性关切与社会影响背景下，激发组织对伦理AI的需求。
• 提出结合伦理、监管、创新与教育的多维方法。
• 提供可操作的支柱及互补措施，以使伦理AI采纳落地。

提出的方法

• 整合技术批判性与治理视角，来证明多维方法的合理性。
• 定义在组织内实现伦理AI的四个核心支柱。
• 确定互补维度，如监管、以人为本的设计与透明度。
• 在治理、教育、审核与利益相关者参与方面提出具体行动。
• 强调包容性和多样性作为贯穿所有维度的交叉考量。

实验结果

研究问题

• RQ1 在组织中实现伦理AI框架需要哪些关键维度与参与者？
• RQ2 组织如何通过框架、教育、审核与利益相关者参与来使伦理落地？
• RQ3 引导伦理、值得信任且以人为本的AI采纳的根本支柱是什么？
• RQ4 如何将包容性、多样性与治理整合到AI战略与执行中？

主要发现

• 伦理必须成为组织AI战略的基石，贯穿从概念到部署的全生命周期。
• 四大支柱—Values的整合、信任与透明、赋能人类成长、以及对齐战略驱动—指导实际落地。
• 互补维度（监管、以人为本的设计、可追溯性、开放式创新、可持续发展）支撑一个整体伦理框架。
• 具体行动包括建立伦理委员会、制定AI伦理守则、开展伦理影响评估，以及持续教育与治理。
• 包容性与多样性在所有维度中都是关键，以确保AI系统的公平性、问责性与社会相关性。
• 建议与利益相关者进行开放沟通并进行独立审核，以维持信任并减轻偏见。