In the ever-expanding landscape of Artificial Intelligence (AI), where innovation thrives and new products and services are continuously being delivered, ensuring that AI systems are designed and developed responsibly throughout their entire lifecycle is crucial. To this end, several AI ethics principles and guidelines have been issued to which AI systems should conform. Nevertheless, relying solely on high-level AI ethics principles is far from sufficient to ensure the responsible engineering of AI systems. In this field, AI professionals often navigate by sight. Indeed, while recommendations promoting Trustworthy AI (TAI) exist, these are often high-level statements that are difficult to translate into concrete implementation strategies. There is a significant gap between high-level AI ethics principles and low-level concrete practices for AI professionals. To address this challenge, our work presents an experience report where we develop a novel holistic framework for Trustworthy AI - designed to bridge the gap between theory and practice - and report insights from its application in an industrial case study. The framework is built on the result of a systematic review of the state of the practice, a survey, and think-aloud interviews with 34 AI practitioners. The framework, unlike most of those already in the literature, is designed to provide actionable guidelines and tools to support different types of stakeholders throughout the entire Software Development Life Cycle (SDLC). Our goal is to empower AI professionals to confidently navigate the ethical dimensions of TAI through practical insights, ensuring that the vast potential of AI is exploited responsibly for the benefit of society as a whole.

翻译：在人工智能（AI）领域持续扩展、创新蓬勃发展且新产品与服务不断涌现的背景下，确保AI系统在其整个生命周期中能够负责任地设计与开发至关重要。为此，已有多项AI伦理原则与指南被提出，要求AI系统予以遵循。然而，仅依赖高层次的AI伦理原则远不足以保障AI系统的负责任工程实践。在该领域中，AI专业人员往往需要自行摸索方向。事实上，尽管存在推广可信赖AI（Trustworthy AI, TAI）的建议，但这些建议多为难以转化为具体实施策略的高层声明。在高层AI伦理原则与AI专业人员可执行的底层具体实践之间存在显著鸿沟。为应对这一挑战，我们的工作呈现了一份经验报告：我们开发了一个新颖的可信赖AI整体框架——旨在弥合理论与实践的差距——并报告了其在工业案例研究中的应用洞见。该框架基于对实践现状的系统性文献综述、一项问卷调查以及与34位AI从业者的出声思维访谈结果构建而成。与文献中现有的大多数框架不同，该框架旨在提供可操作的指南与工具，以支持不同类型利益相关者贯穿整个软件开发生命周期（Software Development Life Cycle, SDLC）。我们的目标是赋予AI专业人员通过实践洞见自信驾驭TAI伦理维度的能力，确保AI的巨大潜力以负责任的方式被利用，从而造福整个社会。