Ethics in Artificial Intelligence (AI) is discussed everywhere, in governmental circles as well as scientific forums. It is very often associated with the two widely used concepts of diversity and eXplainable Artificial Intelligence (XAI). The latter was promoted by DARPA, and it is expected to propose methods preserving the rights of users to understand how the AI systems work and why decisions are made. Computational Intelligence methods have much to contribute to this effort to ensure that AI systems are ethical. In July 2020, the European Union has published an Assessment List for Trustworthy Artificial Intelligence (ALTAI) covering a wide range of ethical issues. The Computational Intelligence society (CIS) is at the heart of all these aspects of ethics in AI. They represent fascinating challenges for researchers and they can highlight the power of all Computational Intelligence methods: neural networks, learning methods, fuzzy systems and evolutionary computation. Efforts are already done through the IEEE CIS Task Force on Ethical and Social Implications of Computational Intelligence. Several other CIS Technical Committee task forces and special issues of CIS publications are also focused on XAI. In particular, a special issue of the IEEE Computational Intelligence Magazine dedicated to Explainable and Trustworthy Artificial Intelligence will be published in 2022. The IEEE CIS Cognitive and Developmental Systems Technical Committee and the IEEE Transactions on Cognitive and Developmental Systems also address some of these concerns on a cognitive basis. Moreover, the IEEE CIS is the oversight committee for the IEEE Consortium On The Landscape of AI Safety (CLAIS) and, on a more specific level, it participates in the IEEE Brain Community. I am convinced that the IEEE CIS needs to pay even more attention to these crucial issues.

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人工智能中的伦理、多样性和意识 [总统的话]

人工智能 (AI) 中的伦理问题在政府界和科学论坛中随处可见。它通常与多样性和可解释人工智能 (XAI) 这两个广泛使用的概念相关联。后者由 DARPA 推动，预计将提出保护用户权利的方法，以了解 AI 系统的工作方式以及做出决策的原因。计算智能方法对确保人工智能系统合乎道德的努力有很大贡献。2020 年 7 月，欧盟发布了一份值得信赖的人工智能 (ALTAI) 评估清单，涵盖了广泛的伦理问题。计算智能协会 (CIS) 是 AI 伦理所有这些方面的核心。它们代表着研究人员的迷人挑战，它们可以突出所有计算智能方法的力量：神经网络、学习方法、模糊系统和进化计算。已经通过 IEEE CIS 计算智能的伦理和社会影响工作组做出了努力。其他几个 CIS 技术委员会工作组和 CIS 出版物的特刊也关注 XAI。特别是，IEEE 计算智能杂志的特刊将在 2022 年出版，专门讨论可解释和可信赖的人工智能。 IEEE CIS 认知和发展系统技术委员会和 IEEE 认知和发展系统交易也解决了其中一些问题一个认知基础。而且，IEEE CIS 是 IEEE 人工智能安全格局联盟 (CLAIS) 的监督委员会，在更具体的层面上，它参与了 IEEE 大脑社区。我相信 IEEE CIS 需要更加关注这些关键问题。