BUILDING AN AI COMPACT TO UPHOLD ARTIFICIAL INTEGRITY

Leader to Leader Pub Date : 2024-08-13 DOI:10.1002/ltl.20855
Hamilton Mann
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Abstract

The author is Group Vice President of Digital Marketing and Digital Transformation at Thales, and a Lecturer at INSEAD and elsewhere. He discusses a concept he originated, Artificial Integrity. This involves how society can build fair, just, and equitable principles into the fabric of artificial intelligence, as the latter continues to move and evolve at lightning speed, in ways most people cannot understand. He describes his holistic framework of principles “for continuous vigilance and collaborative efforts in shaping AI’s role in society, ensuring it contributes positively to human progress.” He details 17 different principles, which “provide a framework aimed at establishing a global, constitution-like foundation to govern AI.” They are, in his words: Protection of Human Identity and Dignity, Safety and Well-being, Obedience to Human Orders, Transparency and Explainability, Confidentiality and Data Protection, Regulation and Human Decision-Making, Responsibility in Case of Failure, Self-protection and Updating, Shared Responsibility, Fairness and Inclusion, Protection of Meaningful and Significant Jobs, Ethical and Cultural Respect, Environmental Impact, International Collaboration, Respect for State Sovereignty, Economic Incentive for Societal Development, and Education and Awareness.

构建人工智能契约,维护人工智能的完整性
作者是泰雷兹集团数字营销和数字转型副总裁,同时也是欧洲工商管理学院等机构的讲师。他讨论了自己提出的一个概念--"人工诚信"(Artificial Integrity)。这涉及社会如何在人工智能的结构中建立公平、公正和平等的原则,因为人工智能正以大多数人无法理解的方式以闪电般的速度不断发展。他描述了自己的整体原则框架,"在塑造人工智能在社会中的角色时,要不断保持警惕并协同努力,确保人工智能为人类进步做出积极贡献"。他详细介绍了 17 项不同的原则,这些原则 "提供了一个框架,旨在建立一个全球性的、类似宪法的基础来管理人工智能"。用他的话说,这些原则是保护人类身份和尊严、安全和福祉、服从人类命令、透明度和可解释性、保密和数据保护、监管和人类决策、失败时的责任、自我保护和更新、共同责任、公平和包容、保护有意义和重要的工作、道德和文化尊重、环境影响、国际合作、尊重国家主权、社会发展的经济激励以及教育和意识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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