Contents

1. Optimizing AI in Higher Education: SUNY FACT² Guide, Second Edition

2. Executive Summary

3. Foreword

4. To The Reader

   Billie Franchini and Jeffrey Riman

   1. How to Use the Guide

5. Acknowledgements

   Lynn Aaron and Dana Gavin

6. I. AI in Context

   1. AI Meets the Public

   2. A Year in AI

   3. AI Capabilities

   4. AI Bias Concerns

      1. Algorithmic Bias
      2. Data Management and Media Literacy

   5. Societal Impact

      1. AI in Society: Ethical and Legal Issues

   6. Intellectual Privacy Considerations

      1. Fair Use Vs. Copyright
      2. Licensing and Fair Compensation
      3. Impact On Trademark Infringement

   7. AI Trademark Infringement

   8. AI Literacy

      1. AI Literacy in Everyday Living
      2. Misinformation and Disinformation
7. II. Policy Considerations in Teaching and Education

   1. Opportunities and Threats in Higher Education

      1. Equity and Access in Higher Education

   2. Dealing with Academic Integrity

      1. Integrity Problems with AI
      2. False Honesty of AI
      3. Psychological Impact of AI

   3. The Responsibility of Educators

      1. The Impact of AI in Other Contexts
      2. Information Security Concerns

   4. AI Policy Suggestions

   5. Additional Resources

8. III. AI in Course Development and Assessment

   1. Uses of AI Technologies in Higher Education

      1. AI-powered personalized learning
      2.  Intelligent tutoring systems
      3. Automated grading and assessment
      4.  Virtual and augmented reality
      5.  Intelligent content creation
      6.  Data analytics for educational insights
      7. Language learning and translation
      8. Intelligent learning management systems

   2. AI Capabilities for Students

   3. AI Tools for Student Writing Tasks

   4. AI Capabilities for Faculty

   5. Suggestions for Faculty AI Use

   6. Prompt Engineering for Instructors

   7. Setting Expectations in Your Classes

   8. AI Tools to Promote Student Learning and Success: Examples

      1. In-Class Activities
      2. Writing Assignments
      3. AI Tools for Research Assignments
      4. Lab Reports
      5. Accessibility
      6. Considerations for Online Classes

   9. AI Tools Can Support Teaching: Examples

9. IV. AI in Student Research and Creative Works

   1. The Role of AI in the Student's Research/Creation Process

   2. AI as it Pertains to the Intellectual Growth of the Student Researcher

   3. Using AI to Develop Research and Scholarship

      1. AI Literacy
      2. Opportunities
      3. Risks
      4. Citing/Disclosing

   4. Using AI to Evaluate Research and Scholarship

      1. Funder and Publisher Guidelines

   5. Using AI in Creative Works

      1. Copyright, Intellectual Property and Applications in Creative Industries
      2. Generative AI in Student Creative Works
      3. Summary and Additional Considerations
10. V. Evaluating AI Tools in Higher Education

    1. Student Evaluation Practices and Assessment Strategies

       1. AI’s Impact on Summative Assessment: An Example
       2. Alternative Grading Strategies
       3. Challenges with AI Detection Products

    2. Strategies for Pedagogical Evaluation

    3. Strategies for Technology Evaluation

    4. Strategies for Accessibility and DEI Evaluation

    5. Strategies for Student Input

11. VI. Special Section: A Brief History of AI
12. VII. Conclusion

    1. What Does the Future with AI Look Like?

       1. Job Market
       2. Scientific Discovery
       3. Cyber Security
       4. AI and Mindreading
       5. Interspecies Communication
       6. After Death Communication (in a way)

13. Appendix A: Timeline

14. Appendix B: Algorithmic/Machine-Learning Bias

    1. Machine Learning Bias
    2. Examples of Algorithmic Bias

15. Appendix C: AI Tool Evaluation Examples

    1. Example A: Midjourney
    2. Example B: Almanack.ai
    3. Example C: Learnt.ai

16. Appendix D: Glossary

17. References