The goal of this community of interest is to explore artificial intelligence (AI) in social and organization contexts, the limits of AI, ethics and AI, trust in AI, explainable AI, and human in the loop and AI.
Contact:
Matthew Jensen
Email: mjensen@ou.edu
Shane Connelly
Email: sconnelly@ou.edu
This community of interest is a dynamic, multidisciplinary network of scholars, educators, and community members united by a common goal: promoting the mental health and well-being of students, school personnel, and the broader community. Through collaborative research, education, and community engagement, the network advances understanding of the complex factors that influence mental health outcomes at the individual, family, school, community, societal, and environmental levels, and identifies evidence-based, data-driven solutions to address the unique needs of these populations.
Contact: dan-li@ouhsc.edu
As AI and certain workplace automations have increased, it is important to balance employee skepticism, mistrust, and anxiety with information and optimism about how these technologies positively affect employee work experiences. This community of interest welcomes a variety of perspectives on how AI and workplace automation can translate into a range of outcomes across individual, small group, organization, community, and society levels. Accordingly, "helpful" and "healthy" are loosely defined, and interests in mitigating unwelcome or detrimental consequences are relevant and welcome. Whether their research or creative work focuses more on the nature and development of specific technologies or how technologies are incorporated into work, we invite scholars from a variety of disciplinary, theoretical, and methodological perspectives to join this community of interest.
Contact: eday@ouhsc.edu
Contact: bteles@ou.edu
