AN ACT TO CREATE THE MISSISSIPPI ARTIFICIAL INTELLIGENCE AND STEM EDUCATION INNOVATION ACT; TO AUTHORIZE THE USE OF ARTIFICIAL INTELLIGENCE TO SUPPORT STEM INSTRUCTION IN PUBLIC SCHOOLS; TO CREATE PILOT PROGRAMS FOR AI-ASSISTED LEARNING, TEACHER SUPPORT, AND CAREER PATHWAYS; TO PROVIDE SAFEGUARDS FOR STUDENT DATA PRIVACY; AND FOR RELATED PURPOSES.
HB 1605 creates the Mississippi Artificial Intelligence and STEM Education Innovation Act, authorizing the Mississippi Department of Education to establish a voluntary pilot program for AI-assisted learning in public schools. The pilot would apply to grades 6 through 12 and focus on STEM instruction, with priority for underperforming schools, rural districts, and schools serving economically disadvantaged students. The bill defines key terms such as artificial intelligence, STEM, local education agency, and AI-assisted learning tool, and gives MDE authority to approve tools and issue rules for implementation.
The bill allows AI tools to be used for personalized tutoring, diagnostic assessments, teacher planning support, virtual labs and simulations, and career exploration tied to STEM pathways. It also requires educator professional development so teachers can use the tools effectively and ethically, and it expressly prohibits use of AI tools for teacher evaluation or employment decisions. The pilot program would sunset on June 30, 2030, unless reauthorized, and MDE must submit annual reports to the Legislature on outcomes, teacher feedback, cost effectiveness, and recommendations for expansion or modification.
The bill would add a new state education pilot program and expand MDE’s authority to approve and oversee AI-based instructional tools in public schools. It would not mandate statewide adoption, but it would create a framework for selected LEAs to use AI in STEM classrooms, especially in grades 6-12, while imposing privacy, transparency, and oversight requirements. The measure also reinforces compliance with FERPA and Mississippi student data privacy laws, bars sale or noneducational use of student data, and directs MDE to develop guidance on algorithmic bias and human oversight.
The bill’s framing is generally positive and innovation-oriented, emphasizing improved STEM achievement, workforce readiness, and support for teachers rather than replacement of educators. Because there were no recorded committee transcripts or votes provided, there is no documented opposition or support in the available history. The text suggests an intent to position AI as a controlled, ethical tool for educational improvement, especially in underserved communities.
The main potential points of contention are the use of artificial intelligence in classrooms, student data privacy, algorithmic bias, and whether AI tools could influence instruction in ways that reduce human judgment. The bill addresses some of these concerns by requiring FERPA compliance, prohibiting data sales and noneducational use, mandating professional development, and banning use of AI for teacher evaluation or employment decisions. Another possible issue is whether the pilot program’s benefits will justify its costs and whether MDE can effectively oversee vendor tools and ensure transparency and accountability.