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Participants will gain a thorough understanding of the key principles and objectives outlined in the AI Bill of Rights, with a specific focus on its implications for K-12 education.
Participants will be able to articulate the direct and indirect impacts of the AI Bill of Rights on K-12 education, including its influence on state or district policies, classroom practices, data privacy, and educational equity.
Participants will learn actionable strategies and best practices for K-12 schools to align their AI initiatives with the principles outlined in the AI Bill of Rights, fostering responsible implementation.
articipants will leave the session equipped with valuable resources, tools, and actionable guidance that they can immediately apply in their respective educational roles, facilitating responsible AI adoption.
CONTENT: Presenters hosted a state and district education leader convening structured around the AI Bill of Rights and OET's recommendations for AI integrations. Discussions, video, media, resources/materials, and other media generated from this event and ongoing/follow up from participating school districts will add to the current and relevant content for this session. Facilitators will model meaningful AI utilization as described in the following section.
ACTIVITIES, PROCESS and TIME:
Current and future landscape of AI in schools and classrooms:
--- Demonstration of Data Visualization using AI tools/apps
--- Participant polling
--- 10 min
5 Key Principles of the AI Bill of Rights
--- Knowledge gathering of Principles by participants using "prompt engineering" examples with ChatGPT/LLM
--- Self-paced
--- 20-25 min (4-5 min each)
"How Might We" Small Group Discussion Protocol
--- Exploration of K-12 Perspectives from NC for AI Bill of Rights; participant contribution of their own ideas and experiences
--- Small-group interaction; Jamboard reporter
--- 15 min
Next steps for developing policies and practices
--- Review available policies based on role (examples from school board/district policy, technology responsible use agreements for staff/students, classroom syllabi, etc)
--- Small-group interaction; Kami comments/annotations
--- 10 min
Boinodiris, P., & Rudden, B. (2023). AI for the rest of us. https://aifortherestofus.us/
Cardona, M. A., Rodriguez, R. J., & Ishmael, K. (May 2023). U.S. Department of Education Office of Educational Technology. Artificial intelligence and the future of teaching and learning. https://tech.ed.gov/ai/
Digital Promise (2023). Artificial intelligence in education. https://digitalpromise.org/initiative/artificial-intelligence-in-education/
Hine, E., & Floridi, L. (2023). The blueprint for an AI Bill of Rights: In search of enaction, at risk of inaction. Minds & Machines, 33, 285–292. https://doi.org/10.1007/s11023-023-09625-1
Hu, M. (2022). Biometrics and an AI Bills of Rights. Duquesne Law Review, 60, 283-301. https://scholarship.law.wm.edu/cgi/viewcontent.cgi?article=3119&context=facpubs
NSF AI Institute for Engaged Learning (2023). How we work: Our three commitments. https://engageai.org/how-we-work/
White House, United States. White House blueprint for an AI Bill of Rights. https://www.whitehouse.gov/ostp/ai-bill-of-rights/