Dr. Rasha is a researcher with a primary focus on understanding and enhancing collaboration between humans and computers, particularly in the realm of AI technology. They stress the importance of recognizing the unique attributes of AI, which increasingly resemble human interactions, Dr. Rasha advocate for adaptable theoretical frameworks to explain how AI-human collaboration affects employee outcomes, especially in managerial contexts where AI’s role is significant.
Dr. Rasha’s research efforts span specific domains, each addressing fundamental aspects of human-computer collaboration. In their exploration, they introduce co-adaptation theory, which explores how users and AI systems mutually adapt to refine alignment between the system and the user. Furthermore, their work delves into the impact of AI management on employee outcomes, emphasizing the importance of developing high-performing AI managers to foster effective collaboration in the workplace. Additionally, their research examines the concept of technology embeddedness to better understand AI’s involvement in individual tasks and activities, offering insights into the integration of AI systems into various aspects of work.
University of Michigan – Ann Arbor, Ph.D. In Information Systems, 2022
Central Michigan University, Master of Science in Information Systems, 2016
Qassim University, Master of Business Administration, 2010
Information Systems
Human-computer interaction
AI use in management
Alahmad, R. and Robert, L. P. (2020). Artificial Intelligence (AI) and IT identity: Antecedents Identifying with AI Applications, Proceedings of the 26th Americas Conference on Information Systems, (AMCIS 2020), Aug 13-15, Salt Lake City, UT. link to the copy provided by the author https://arxiv.org/abs/2005.12196
Robert, L. P., Alahmad, R., Kim, S., Esterwood, C., You, S., and Zhang, Q. (2020). A Review of Personality in Human Robot Interactions, Foundations & Trends in Information Systems, 4(2), 107–210. http://dx.doi.org/10.1561/2900000018
