面向可信（更可信）自主系统开发的以需求工程为中心的建议
RE-centric Recommendations for the Development of Trustworthy(er) Autonomous Systems
AI总结：
针对AI开发中伦理指南术语不一致及需求工程缺失导致可信AI开发困难的问题，本文通过文献综述与元分析揭示了现有伦理AI框架的局限性，并提出了在可信AI开发期间解决这些局限性的具体建议。
摘要：
在欧盟范围内，在开发和实施AI系统时遵守EU AI Act (AIA)指南即将成为强制性要求。然而，从业者缺乏在AI系统开发期间将伦理付诸实践的可行指导。对不同伦理指南的文献综述显示，其涉及的原则和用于描述这些原则的术语存在不一致之处。此外，需求工程（RE）被认定能在AI开发过程的早期阶段促进可信度，但在许多支持伦理和可信AI开发的框架中却未见其身影。这种不一致的表述加上缺乏具体的开发实践，使得可信AI的开发更加困难。为了解决这一问题，我们制定了一个比较表，用于梳理主要伦理AI指南中所使用的术语及其对伦理AI原则的覆盖情况。随后，我们考察了伦理AI开发框架在开发可信AI系统期间执行有效RE的适用性。对探讨伦理AI框架的文献进行的三级审查和元分析揭示了它们在开发可信AI时的局限性。基于我们的发现，我们提出了在开发可信AI期间解决此类局限性的建议。
英文摘要：
Complying with the EU AI Act (AIA) guidelines while developing and implementing AI systems will soon be mandatory within the EU. However, practitioners lack actionable instructions to operationalise ethics during AI systems development. A literature review of different ethical guidelines revealed inconsistencies in the principles addressed and the terminology used to describe them. Furthermore, requirements engineering (RE), which is identified to foster trustworthiness in the AI development process from the early stages was observed to be absent in a lot of frameworks that support the development of ethical and trustworthy AI. This incongruous phrasing combined with a lack of concrete development practices makes trustworthy AI development harder. To address this concern, we formulated a comparison table for the terminology used and the coverage of the ethical AI principles in major ethical AI guidelines. We then examined the applicability of ethical AI development frameworks for performing effective RE during the development of trustworthy AI systems. A tertiary review and meta-analysis of literature discussing ethical AI frameworks revealed their limitations when developing trustworthy AI. Based on our findings, we propose recommendations to address such limitations during the development of trustworthy AI.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
