Common themes and pitfalls: Navigating AI policy for inclusivity

Outline

Here’s a detailed outline for the panel presentation:

Introduction (3 minutes)
The moderator will introduce the panel topic and provide a brief overview of the work that has been done to analyze AI policies across different states, particularly focusing on students with disabilities and inclusive practices.

Panel Discussion on Common Themes and Pitfalls in AI Policy (35 minutes)
The moderator will pose a series of structured questions to guide the discussion on the following key topics, draft questions include:

How can AI support personalized learning, and what risks or biases must we be aware of when integrating AI into classrooms?
How can AI be leveraged to support students with disabilities? What are the barriers to ensuring AI tools are accessible to all learners?
What are the best practices for creating equitable AI policies, and how can educators and leaders ensure these policies are ethically sound?
How do we maintain the "human-in-the-loop" approach in AI integration, and what training or support do teachers need to implement AI effectively?

Panelists will also be invited to share real-world examples, state policy insights, and research findings to provide diverse perspectives.

Q&A Session (20 minutes)
The moderator will open the floor to questions from the audience, encouraging attendees to ask specific questions about challenges or experiences they've had with AI in their educational settings.

WrapUp (2 minutes)
The moderator will wrap up the panel discussion by summarizing the key themes, insights, and actionable strategies discussed during the session and share the website where ongoing analysis will be archieved.

Supporting research

Braun, V., & Clarke, V. (2012). Thematic analysis. American Psychological Association.

California Department of Education (2024). Learning With AI, Learning About AI. https://www.cde.ca.gov/ci/pl/aiincalifornia.asp#introduction

Center for Innovation Design and Digital Learning (CIDDL). (2024). Inclusive intelligence: The impact of AI on education for all learners. Center for Innovation Design and Digital Learning. E. Vasquez, J. D. Basham, & M. T. Marino (Eds.). Lawrence, KS.

Kentucky Department of Education (2024). Artificial intelligence guidance brief. https://www.education.ky.gov/districts/tech/Documents/AI%20Guidance%20Brief.pdf

Marino, M. T., Vasquez, E., Dieker, L., Basham, J., & Blackorby, J. (2023). The future of artificial intelligence in special education technology. Journal of Special Education Technology, 38(3), 404–416. https://doi.org/10.1177/01626434231165977

Mississippi Department of Education (2024). Artificial intelligence guidance for K-12 classrooms. https://www.mdek12.org/sites/default/files/Offices/MDE/OTSS/DL/ai_guidance_final.pdf

North Carolina Department of Public Instruction (2024). North Carolina generative AI implementation recommendations and considerations for PK-13 public schools. https://go.ncdpi.gov/AI_Guidelines

North Dakota Department of Public Instruction (2024). North Dakota K-12 AI guidance framework. https://www.nd.gov/dpi/policyguidelines/north-dakota-k-12-ai-guidance-framework

Ohio Department of Education (2024). AI toolkit. https://innovateohio.gov/aitoolkit/ai-toolkit

Oklahoma State Department of Education (2024). Guidance and considerations for using artificial intelligence in Oklahoma in K-12 schools. https://sde.ok.gov/sites/default/files/Guidance%20and%20Considerations%20for%20Artificial%20Intelligence%20in%20Oklahoma%20Schools_version1.0.pdf

Oregon Department of Education (2023). Generative artificial intelligence (AI) in K-12 classrooms. https://www.oregon.gov/ode/educator-resources/teachingcontent/Documents/ODE_Generative_Artificial_Intelligence_(AI)_in_K-12_Classrooms_2023.pdf.

Pedró, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. United Nations Educational, Scientific and Cultural Organization.

Utah Department of Education (2024). Artificial intelligence framework for Utah P-12 education. https://www.utah.gov/pmn/files/1116147.pdf

Virginia Department of Education (2024). Guidelines for AI integration throughout education in the Commonwealth of Virginia. https://www.education.virginia.gov/media/governorvirginiagov/secretary-of-education/pdf/AI-Education-Guidelines.pdf

Washington Office of Superintendent of Public Instruction (2024). Human-centered AI guidance for K-12 public schools. https://ospi.k12.wa.us/sites/default/files/2024-01/human-centered-ai-guidance-k-12-public-schools.pdf

West Virginia Department of Education (2024). Guidance, considerations, & intentions for the use of artificial intelligence in West Virginia schools. https://ospi.k12.wa.us/sites/default/files/2024-01/human-centered-ai-guidance-k-12-public-schools.pdf

Wyoming Department of Education (2024). Guidance for Wyoming school districts on developing artificial intelligence use policy. https://edu.wyoming.gov/wp-content/uploads/2024/06/Guidance-for-AI-Policy-Development.pdf