Based on the insights generated by these data, here are some actions you can take:

• Shore up training for your students to match the resources and efforts your institution is dedicating to faculty and staff training.
• Gather examples of institution-wide policies and guidelines you can share with your institutional leadership to encourage holistic and unified AI-related planning and management.
• Inventory common AI tools in use at your institution, and explore licensing or homegrown opportunities for solutions to help more effectively and safely procure and manage common AI solutions.
• For smaller institutions, build connections with peer institutions focused on resource sharing, knowledge and standards development, and business and strategic planning guidance.
• For larger institutions, make a plan to document your challenges and successes in adopting and managing AI technologies, and share with your peers across the larger higher education landscape.

Survey respondents also offered suggestions for actions you can take. In open-ended comments, respondents described measures being taken at their institutions to mitigate AI-related risks:

• Developing guidelines and policies
• Extensive review of new technologies, including stakeholders across the institution (e.g., privacy, security, accessibility)
• Training for faculty, staff, and students
• Sharing best practices through professional networks
• Developing AI governance
• Implementing AI-related academic integrity policies
• Changing assessment practices (e.g., requiring students to show their processes)
• Using "walled-garden" AI (e.g., creating homegrown AI software, using on-site servers)
• Conducting risk assessments
• Collaborating across silos (e.g., interdisciplinary committees and working groups)
• Leveraging institutional agility: "Fail fast, fail better, develop broad competency for AI"
• Having cabinet-level involvement in AI-related strategy
• Reducing attack surface through institution-wide cybersecurity measures
• Increasing awareness of policies and procedures (e.g., data governance policies, lists of vetted AI tools)
• Eliciting use cases from stakeholders to inform policy and guideline development, new supports, budget, etc.

Check out the following AI-related resources from EDUCAUSE:

• Executive Leaders Academy: The EDUCAUSE Executive Leaders Academy is a hybrid, cohort-based, immersive, and applied learning experience for higher education executive leaders or those actively seeking executive positions. This seven-month program begins with an in-person component at the EDUCAUSE Annual Conference (included in registration fee) and continues online, featuring experts and thought leaders in key areas throughout.
• Higher Education Generative AI Readiness Assessment: The Higher Education Generative AI Readiness Assessment is designed to provide a sense of your institution's preparedness for strategic AI initiatives. Use the assessment to develop an understanding of the current state and the potential of generative AI at your institution, and as an opportunity for discussion with others.
• A Matter of Trust: This EDUCAUSE Showcase includes resources to help you advance your institution’s data strategy.
• EDUCAUSE Event Finder: Check out the Events Calendar for Learning Labs, webinars, and other professional learning events that address AI.
• EDUCAUSE Connect community platform: Connect with community groups focused on AI, strategic planning, and professional affinity groups (e.g., young professionals, LGBTQIA in IT).

• EDUCAUSE Library: Artificial Intelligence (AI): Learn more about artificial intelligence in higher education, including the challenges and opportunities of AI use on the campus.