  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.
