探索高级驾驶辅助系统背景下的可信赖AI评估列表
Exploring the Assessment List for Trustworthy AI in the Context of Advanced Driver-Assistance Systems
摘要：
人工智能（AI）越来越多地用于关键应用。因此，对可靠的AI系统的需求正在迅速增长。2018年，欧盟委员会任命了人工智能高级别专家组（AI-HLEG）的专家。AI-HLEG将可信赖的AI定义为1）合法，2）道德和3）健壮，并指定了七个相应的关键要求。为了帮助开发组织，AI-HLEG最近发布了值得信赖的AI评估列表（ALTAI）。我们提出了一个说明性的案例研究，从应用ALTAI的高级驾驶辅助系统（ADAS），依赖于机器学习（ML）正在进行的开发项目。我们的经验表明，ALTAI在很大程度上适用于ADAS的开发，但可以忽略与人类代理和透明度相关的特定部分。此外，与社会和环境影响相关的更大问题无法由ADAS供应商单独解决。我们介绍了我们计划如何开发ADAS以确保符合阿尔泰标准。最后，我们为ALTAI的下一次修订提供了三个建议，即，生命周期的变化，特定领域的适应，并删除冗余。
英文摘要：
Artificial Intelligence (AI) is increasingly used in critical applications. Thus, the need for dependable AI systems is rapidly growing. In 2018, the European Commission appointed experts to a High-Level Expert Group on AI (AI-HLEG). AI-HLEG defined Trustworthy AI as 1) lawful, 2) ethical, and 3) robust and specified seven corresponding key requirements. To help development organizations, AI-HLEG recently published the Assessment List for Trustworthy AI (ALTAI). We present an illustrative case study from applying ALTAI to an ongoing development project of an Advanced Driver-Assistance System (ADAS) that relies on Machine Learning (ML). Our experience shows that ALTAI is largely applicable to ADAS development, but specific parts related to human agency and transparency can be disregarded. Moreover, bigger questions related to societal and environmental impact cannot be tackled by an ADAS supplier in isolation. We present how we plan to develop the ADAS to ensure ALTAI-compliance. Finally, we provide three recommendations for the next revision of ALTAI, i.e., life-cycle variants, domain-specific adaptations, and removed redundancy.
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。
