University of Tulsa President Brad Carson Steps Down to Focus on AI Policy Making

The University of Tulsa (TU) has announced that President Brad Carson will step down effective May 31 to lead Americans for Responsible Innovation and the Center for Responsible Innovation, two organizations focused on policy making in artificial intelligence (AI). This transition comes after four years marked by significant achievements, including increased enrollment, improved faculty pay, and a stronger credit rating. Carson emphasized his belief that AI represents a defining issue for the future, influencing everything from governance to societal norms. During his tenure, Carson not only faced challenges such as restructuring educational programs and campus controversies but also managed a period of renewal and growth at TU, as recognized by both the Board of Trustees and the Faculty Senate. Marcia MacLeod, chair of the governing board, expressed gratitude for Carson's service and affirmed the university's mission to foster innovation and community engagement. Notably, Carson's departure follows a tumultuous period where the university struggled financially, evidenced by faculty grievances over pay and sustainability issues that were highlighted by critics, including former faculty member Jacob Howland. Furthermore, his administration's choice to host a Motley Crue concert drew mixed responses, illuminating the financial pressures faced by private universities to generate revenue. As the university looks for its next leader, Carson’s messaging has been optimistic, capturing a sense of pride in the accomplishments during his term, while also signaling a clear pivot towards the emerging global discourse surrounding artificial intelligence. This appointment marks a significant development not just for TU, but for the broader discussions on responsible AI implementation and governance in society. In conclusion, Carson's legacy at TU will likely be shaped by both his achievements and the critiques raised during his administration. His next steps in advocating for responsible AI are timely, given the technological landscape's rapid evolution and the ensuing need for structured policies to manage its impact.