Institutional Research professionals are seeking alignment between their institutions’ artificial intelligence (AI) initiatives and their own in IR. In these early days, there is much to be considered as IR begins to use artificial intelligence to lighten their workload and improve their ability to inform decision-makers. All new tools and strategies that move away from traditional, labor-intensive ones can incur a significant learning curve. Panelists from the University of North Texas and Shippensburg University of Pennsylvania will discuss:
•The imperative for AI data literacy within the institution
• Strategies for determining the validity and weighting of AI-surfaced information
•Considerations for privacy, legality, and other governance issues
•Current recommendations for ongoing development of effective practices for AI
•The interplay of local, state, and federal conversations that impact AI adoption
