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The President's Commission on Artificial Intelligence (AI) was established in November 2023. This multidisciplinary commission is charged with exploring, evaluating, and providing recommendations on the responsible development, deployment, and ethical use of AI technologies within the university community.

Assessment of Current Landscape in the application of AI across Academe:

Conduct a comprehensive review of the current applications of AI technologies across academic disciplines, research endeavors, and administrative functions within the university. Identify current and available AI tools that can enhance the effectiveness of the university’s mission in education, research, service and administrative operations. What new AI tools or chatbots might aid efficient and effective operations?

The areas of interest for the Commission to consider as it relates to higher education include but are not limited to the following:

• Academic Affairs
• Athletics
• Administrative Operations (HR, Procurement, DOTS, Facilities Management, etc.)
• Institutional Data and Reporting
• IT (Help Desk, Support Services)
• Marketing/Communications
• Recruitment (Trends in Student Behavior, Support Services)
• Research (Tracking Origins of New Knowledge, Proposal Management, IP/Licensing, etc.)
• TerrapinSTRONG (Onboarding and Orientation)
• Student Affairs (Student Experience, Student Success, Health and Wellness)
• Teaching and Learning

Ethical Considerations:

Investigate the ethical implications of AI applications within the university, focusing on issues such as bias, transparency, accountability, and the impact on privacy and security.

Curriculum Integration:

Examine the integration of AI-related content into academic programs, ensuring students have access to relevant education and training to meet the demands of the evolving job market.

Research and Innovation:

Identify opportunities for interdisciplinary research collaborations in AI and recommend strategies to foster innovation in AI research across departments.

Community Engagement:

Evaluate mechanisms for engaging with the broader university community, including faculty, students, staff, and external stakeholders, to gather diverse perspectives on AI technologies.

Policy and Governance:

Develop recommendations for university policies and governance structures that guide the ethical and responsible use of AI, balancing innovation with the protection of individual rights and societal well-being.

Collaboration with Industry and Government:

Explore opportunities for collaboration with industry partners, government agencies, and other institutions to advance AI research, application, and policy development.

Accessibility and Inclusivity:

Consider the impact of AI technologies on accessibility and inclusivity, ensuring that advancements in AI do not inadvertently exacerbate existing disparities within the university community.

Continuous Monitoring and Reporting:

Establish mechanisms for ongoing monitoring of AI-related developments, both within the university and the broader field, and provide regular reports and updates to relevant university leadership bodies.

Resource Allocation:

Assess the need for resources, including funding, infrastructure, and expertise, to support the responsible development and deployment of AI technologies across the university.