Abstract
Organizations worldwide embrace Artificial Intelligence (AI) initiatives across diverse fields, from healthcare to transportation. While AI may offer significant benefits, there are also concerns related to issues such as bias, privacy, transparency, reliability, and accountability. Responsible AI (RAI) frameworks and principles have emerged to address these issues. However, operationalizing RAI remains a challenge. In this paper, we report findings from a survey of C-level managers and AI developers from Europe and North America. We explore the perceptions of these different practitioner groups and identify areas of consensus and divergence. The results suggest that organizations may face challenges in effectively actualize the RAI, due to diverging perspectives. By highlighting these challenges and insights, this study contributes a nuanced understanding of the dynamics influencing real-world RAI and can contribute to better intraorganizational communication and collaboration.
Recommended Citation
Akbarighatar, Pouria; O. Pappas, Ilias Heather; and Vassilakopoulou, Polyxeni, "Responsible AI in Action: Assessing Variations in Perspectives Between C-Level Managers and AI Developers" (2025). UK Academy for Information Systems Conference Proceedings 2025. 2.
https://aisel.aisnet.org/ukais2025/2