企业是否需要可解释人工智能？从员工视角调查挑战、期望与机遇
Do We Need Explainable AI in Companies? Investigation of Challenges, Expectations, and Chances from Employees' Perspective
AI总结：
本文从员工视角调查其对AI与XAI的认知、需求和态度，指出现实应用研究缺口，并为企业构建以人为本的XAI方案提供方向。
摘要：
企业采用人工智能（AI）正日益成为商业成功的关键要素。然而，使用AI对企业及其员工提出了新的要求，包括AI系统的透明度和可理解性。可解释人工智能（XAI）领域旨在解决这些问题。但是，当前研究主要由实验室研究构成，因此有必要提升研究发现对现实情境的适用性。为此，本项目报告论文深入呈现了员工对（X）AI的需求和态度。我们围绕员工对（X）AI的看法展开调查。研究结果表明，AI和XAI都是广为人知的术语，并且被员工认为十分重要。这种认知是关键的第一步，使XAI有可能通过提供对AI技术的可理解洞见，推动AI的成功使用。在经验教训部分，我们讨论了所识别出的开放性问题，并提出未来研究方向，以为企业开发以人为本的XAI设计。通过洞察员工对（X）AI的需求和态度，本项目报告有助于开发满足企业及其员工要求的XAI解决方案，最终推动AI技术在商业环境中的成功采用。
英文摘要：
Companies' adoption of artificial intelligence (AI) is increasingly becoming an essential element of business success. However, using AI poses new requirements for companies and their employees, including transparency and comprehensibility of AI systems. The field of Explainable AI (XAI) aims to address these issues. Yet, the current research primarily consists of laboratory studies, and there is a need to improve the applicability of the findings to real-world situations. Therefore, this project report paper provides insights into employees' needs and attitudes towards (X)AI. For this, we investigate employees' perspectives on (X)AI. Our findings suggest that AI and XAI are well-known terms perceived as important for employees. This recognition is a critical first step for XAI to potentially drive successful usage of AI by providing comprehensible insights into AI technologies. In a lessons-learned section, we discuss the open questions identified and suggest future research directions to develop human-centered XAI designs for companies. By providing insights into employees' needs and attitudes towards (X)AI, our project report contributes to the development of XAI solutions that meet the requirements of companies and their employees, ultimately driving the successful adoption of AI technologies in the business context.
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。
