论文标题

致力于实施负责的人工智能

Towards Implementing Responsible AI

论文作者

Sanderson, Conrad, Lu, Qinghua, Douglas, David, Xu, Xiwei, Zhu, Liming, Whittle, Jon

论文摘要

随着人工智能(AI)的部署正在改变许多领域和行业,人们担心AI系统做出决策和建议而没有充分考虑各种道德方面,例如问责制,可靠性,透明度,可解释性,可靠性,竞争性,隐私性和公平性。尽管最近已经提出了许多认可这些问题的AI道德原则,但此类原则是高级的,并且没有提供有关如何开发道德和负责的AI系统的切实建议。为了洞悉可能实施原则,我们进行了一项实证研究,涉及与AI从业者的半结构化访谈。显着发现涵盖了AI系统设计和开发的四个方面,适应软件工程中使用的过程:(i)高级视图,(ii)需求工程,(iii)设计和实施,(iv)部署和操作。

As the deployment of artificial intelligence (AI) is changing many fields and industries, there are concerns about AI systems making decisions and recommendations without adequately considering various ethical aspects, such as accountability, reliability, transparency, explainability, contestability, privacy, and fairness. While many sets of AI ethics principles have been recently proposed that acknowledge these concerns, such principles are high-level and do not provide tangible advice on how to develop ethical and responsible AI systems. To gain insight on the possible implementation of the principles, we conducted an empirical investigation involving semi-structured interviews with a cohort of AI practitioners. The salient findings cover four aspects of AI system design and development, adapting processes used in software engineering: (i) high-level view, (ii) requirements engineering, (iii) design and implementation, (iv) deployment and operation.

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