分析12个AI工作场景，揭示技术与心理因素如何影响职场AI落地。
Look: AI at Work! -- Analysing Key Aspects of AI-support at the Work Place
- 从12个应用案例出发，梳理AI技术落地的关键领域。
- 强调高质量数据与人类专家知识融合的重要性。
- 聚焦信任、接受度等心理因素，指导未来系统设计。
本文针对一个将人工智能（AI）融入未来工作场所与工作系统的项目，分析了十二个应用案例中涉及的技术与心理因素。从技术角度出发，重点关注各类应用所依赖的AI领域，提出开发AI应用时需关注的核心要点，并建议在不同利益相关者中培养AI素养，尤其强调基于学习的系统需高质量数据支持，基于知识的系统需融入人类专业知识。从心理层面，提炼出若干研究问题，用于指导后续AI支持工作系统的设计与评估，主要涵盖对AI系统的接受度、开放性及信任感等关键议题。
原文摘要 · Abstract (English)
In this paper we present an analysis of technological and psychological factors of applying artificial intelligence (AI) at the work place. We do so for a number of twelve application cases in the context of a project where AI is integrated at work places and in work systems of the future. From a technological point of view we mainly look at the areas of AI that the applications are concerned with. This allows to formulate recommendations in terms of what to look at in developing an AI application and what to pay attention to with regards to building AI literacy with different stakeholders using the system. This includes the importance of high-quality data for training learning-based systems as well as the integration of human expertise, especially with knowledge-based systems. In terms of the psychological factors we derive research questions to investigate in the development of AI supported work systems and to consider in future work, mainly concerned with topics such as acceptance, openness, and trust in an AI system.
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