Technological advances in the context of digital transformation are the basis for rapid developments in the field of artificial intelligence (AI). Although AI is not a new topic in computer science (CS), recent developments are having an immense impact on everyday life and society. In consequence, everyone needs competencies to be able to adequately and competently analyze, discuss and help shape the impact, opportunities, and limits of artificial intelligence on their personal lives and our society. As a result, an increasing number of CS curricula are being extended to include the topic of AI. However, in order to integrate AI into existing CS curricula, what students can and should learn in the context of AI needs to be clarified. This has proven to be particularly difficult, considering that so far CS education research on central concepts and principles of AI lacks sufficient elaboration. Therefore, in this paper, we present a curriculum of learning objectives that addresses digital literacy and the societal perspective in particular. The learning objectives can be used to comprehensively design curricula, but also allow for analyzing current curricula and teaching materials and provide insights into the central concepts and corresponding competencies of AI.

翻译：在数字化转型背景下，技术进步是人工智能领域快速发展的基础。尽管人工智能并非计算机科学中的新课题，但近期的发展正对日常生活和社会产生深远影响。因此，每个人都需要具备能力，以便充分且胜任地分析、讨论并协助塑造人工智能对个人生活及社会的影响、机遇与局限。由此，越来越多的计算机科学课程正被扩展以纳入人工智能主题。然而，要将人工智能融入现有计算机科学课程，必须明确学生在人工智能相关领域能够且应当学习什么。这被证明尤为困难，因为迄今为止关于人工智能核心概念与原理的计算机科学教育研究尚缺乏充分阐述。因此，本文提出了一套学习目标课程体系，特别关注数字素养及社会视角。这些学习目标不仅可用于全面设计课程，还能分析现行课程与教学材料，并为人工智能的核心概念及相应能力提供深刻见解。