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Where is our AI Policy?

David Hatami

— 2 min read
Where is our AI Policy?
Photo by Elijah Mears / Unsplash

The more I read, write and research on AI the more I realize we might be putting the cart before the horse.   What do I mean by that?

Well, I see a flurry of activity about how to do effective GPT prompts, I see articles about AI in education and in the classroom. I read articles of pro and con about the concepts of the AI innovation in the classroom.

What I’m not reading about is #AI and #aipolicy regulations or guidelines for state governments, counties, municipalities, local governments, school boards, college trustees and so on.  The free market enterprise has rushed to the aid of the teachers and classrooms while not having any guidelines in

I think this is why most educators are still hesitant about the new technology. It’s the equivalent of the Wild, Wild, West.  While I am just as eager as any enthusiast to embrace the technology to its fullest capacity with the intent of motivating our student stakeholders, I can’t help but think we’re still putting the cart before the horse.

A brief historical background:

States have faced significant challenges with concepts of design governance, AI development and fair use of the technology.

There were Congressional Committee hearings in 2023, where several bills were proposed.  Most have yet to pass.  Thus, leaving this monumental task of establishing regulatory and compliance frameworks for AI systems to the individual states.

A list of suggested articles or polocies:

  1. Introduction
  2. Background
  3. Policy Framework
  4. Pedagogical Considerations
  5. Technology and Infrastructure
  6. Stakeholder Engagement
  7. Inclusivity and Accessibility
  8. Sustainability
  9. Implementation Plan
  10. Monitoring and Evaluation
  11. Training and Development
  12. Communication Strategy
  13. Risk Management and Ethical Considerations
  14. Research and Innovation
  15. Global and Local Context
  16. Diversity and Equity in AI
  17. Student and Faculty Empowerment
  18. Partnerships and Community Engagement
  19. Continuous Improvement and Adaptability
  20. Intellectual Property Rights
  21. Documentation and Resources
  22. Ethical AI Leadership
  23. Interdisciplinary Approaches
  24. AI Literacy for All
  25. Quality Assurance and Accreditation
  26. Feedback and Revision Cycle
  27. Societal Impact and Responsibility
  28. Funding and Grants
  29. International Collaboration
  30. Conclusion and Future Outlook
  31. Digital Ethics and Human Rights
  32. Environmental Sustainability
  33. Mental Health and Well-being
  34. AI and the Future of Work
  35. Public Policy and Advocacy
  36. AI for Accessibility and Inclusion
  37. Data Literacy
  38. AI in Non-STEM Fields
  39. Ethical AI Research
  40. Global AI Ethics and Standards
  41. Conclusion: Building a Responsible AI Future

K-12 and Higher Education institutions are fending for themselves, but what guidance do they have if the individual states have yet to figure it out for themselves?

So, I will leave you with this very rhetorical question, who is governing your AI?  Is this sustainable?

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