KU researchers present 'responsible AI' framework to Kansas board as officials weigh risks and benefits
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Summary
KU professors introduced a human-centered PK–20 framework for AI integration, urging risk audits, transparency, and teacher training; board members and attendees pressed on data privacy, equity, and how to teach digital/AI literacy to families and teachers.
Kansas State Board of Education members heard a presentation Feb. 10 from the University of Kansas Center for Innovation Design and Digital Learning outlining a framework for integrating artificial intelligence into pre-K through higher education.
Researchers James Basham and Trey Vasquez framed the work around four domains — human-centered design, strategic planning, ensuring equitable educational opportunities, and ongoing evaluation — and said their federally funded center (via the U.S. Department of Education Office of Special Education Programs) is producing resources and technical assistance for districts. The presenters repeatedly emphasized that human judgment must remain central: AI should assist teachers rather than replace professional decision-making.
The framework: KU’s document, described as intentionally concise for wide consumption, recommends local risk audits before adoption; transparency and oversight around student data and privacy (citing FERPA and IDEA); professional development for educators on AI fluency; and community engagement to overcome fear and misinformation.
Board reaction and follow-up: Members asked practical questions about equity for rural districts, who owns data and how parents should be informed, and what specific entry points exist for teaching digital fluency. "The human comes first," Basham said, urging that districts build strategic plans and pilot programs and that the board support teacher preparation.
Tension and caution: Several board members and some public speakers highlighted concerns that AI could exacerbate inequities or erode critical thinking if not implemented carefully. The KU team and board staff discussed that active, instructionally-aligned device use and strong privacy safeguards are necessary; presenters also recommended community forums, risk audits, and pilot evaluations before wide adoption.
Next steps: KU offered the framework and resources on its website and recommended that the board and districts begin localized needs assessments and strategic planning, not immediate wholesale rollouts of student-facing AI systems.
