Contents

1. AI in Action: A SUNY FACT2 Guide to Optimizing AI in Higher Education

2. Acknowledgements

3. Foreword

4. Introduction

5. I. Considerations for Development of AI Policies and Guidelines

   1. Introduction to Policy Considerations

   2. Getting Started: How to Begin the Process of Developing an Institutional AI Policy or Guidelines

   3. Engaging Stakeholders

   4. Addressing Generative AI in Existing Institutional Policies

   5. Determining What Educational Information Policies and Guidelines Should Include

   6. Addressing Non-Generative AI Tools Used On Campus

   7. Examples of Institutional Policies/Guidelines that Address AI Use

   8. Summary of Recommendations

   9. Conclusion

6. II. Evaluating AI Tools: Framework and Illustration

   1. Introduction to Evaluating AI Tools

   2. A Framework for AI Technology Evaluation

   3. Developing an Evaluation Framework

   4. Rubric for AI Tool Evaluation

   5. Case Studies: Illustration of AI Tool Evaluation

   6. Case Study #1: Copilot for Professional Documentation

   7. Case Study #2: NotebookLM in Computer Science Education

   8. Case Study #3: Using Brisk Teaching to Support Explicit Lesson Planning in EPSY 3029: Survey of Exceptional Children

   9. Case Study #4: ChatGPT for Content Development and Critical Engagement at SUNY Farmingdale

   10. Tool Evaluation Process Overview

   11. Strategies for Evaluating Accessibility

   12. Diversity, Equity, and Inclusion (DEI) Evaluation Strategies

   13. Using Student Input in AI Adoption and Use

   14. Challenges with AI Detection Products and their Use

   15. Conclusion

7. III. Using AI Tutors

   1. Introduction to AI Tutors

   2. Key characteristics and functionalities of AI tutors

   3. Why Use an AI Tutor

   4. Possible Roles for an AI Tutor

   5. Examples of AI Tutor Use in Higher Education

   6. AI Tutor Basics

   7. Pedagogical Strategies for Integrating AI Tutors into Teaching and Practice

   8. Concerns and Considerations

   9. Implementation, Deployment, and Management

8. Conclusion

9. References