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Policy Guides for AI
Policy guides for AI help schools, colleges, universities, government agencies, healthcare organizations, businesses, and finance teams begin practical governance conversations around responsible use, data privacy, cybersecurity, academic integrity, procurement, customer trust, and human oversight. If you are in Mississippi, this page also shows which official sources set AI policy for state agencies, state law, and K-12 schools.
Policy Directory
Choose your AI policy and guidance template
Choose the setting that matches your organization, then adapt the template to your local mission, legal requirements, risk tolerance, technology environment, and governance process. These resources are planning tools, not legal advice or mandatory model policies.
Each template is designed for a different environment and should be refined with the people responsible for operations, data protection, and oversight.
K-12 Education
Guidance for school districts, administrators, teachers, staff, students, and families developing responsible AI expectations.
Higher Education
A planning framework for colleges and universities addressing AI governance across teaching, research, administration, student services, privacy, security, and procurement.
State Government
A planning framework for Mississippi state agencies. Start with the ITS AI Acceptable Use Policy, then adapt for governance, data, and procurement.
Local Government
A planning framework for Mississippi cities and counties, covering governance, public records, procurement, public safety, and responsible AI use.
Healthcare
A planning framework for Mississippi hospitals, clinics, and health systems, covering HIPAA, patient safety, nondiscrimination, FDA-regulated AI, coverage decisions, and responsible clinical and administrative use.
Business
A planning framework for Mississippi employers, small businesses, nonprofits, and industry teams covering responsible use, privacy, cybersecurity, HR, customer-facing AI, procurement, oversight, and training.
Finance
A planning framework for banks, credit unions, lenders, insurers, accounting teams, fintech companies, and finance departments covering AI governance, privacy, cybersecurity, regulatory obligations, customer-facing AI, third-party tools, oversight, and records.
Nonprofit and Community
A planning framework for nonprofits, foundations, faith-based organizations, and community groups covering donor and client data, charitable solicitation, civil rights in program delivery, grant compliance, accessibility, board governance, and incident response.
Mississippi
Who sets AI policy in Mississippi
If you are in Mississippi and need to understand AI policy or responsible AI, start with the official source that governs your setting. MAIN does not regulate AI use and does not set state AI policy. The templates further down this page are planning tools you adapt to your own organization.
State agencies
Executive Order 1584, issued January 8, 2025, directs the Mississippi Department of Information Technology Services (ITS) to inventory state AI use, evaluate agency practices, and coordinate policy recommendations. ITS approved its AI Acceptable Use Policy (PSG-100-03) effective November 25, 2025. That policy applies to AI use within ITS operations, and ITS presents it as a standard other agencies can adopt and build upon. Confirm what your own agency has adopted.
State law
House Bill 1723 (2026 Regular Session, Chapter 311) defines artificial intelligence in Mississippi law effective July 1, 2026, codified in Chapter 3, Title 1 of the Mississippi Code of 1972. It uses the same definition the AIR Task Force worked from, which Senate Bill 2426 tied to 15 U.S.C. Section 9401(3).
Legislative study
Senate Bill 2426 (2025 Regular Session, Chapter 385) established the Artificial Intelligence Regulation (AIR) Task Force. It reports findings and recommendations to the Legislature each year by December 1 and dissolves December 31, 2027. Report One was released January 13, 2026.
K-12 schools
The Mississippi Department of Education published Artificial Intelligence: Guidance for K-12 Classrooms for schools and districts. It is guidance rather than mandatory policy, and districts keep local discretion over the technology they use.
Your organization
Most AI decisions in Mississippi are still made locally by school boards, campus leadership, agency directors, city and county officials, and business owners. The templates below are starting points for that local work, not model policies to adopt as written.
How to Use
Adapt AI policy guidance to your local context
Governance conversations
Use the templates to align leaders, instructors, technology teams, privacy stakeholders, accessibility teams, compliance partners, and business owners.
Local review
Organizations should review AI guidance with appropriate leadership, legal counsel, technology owners, and local policy owners before adoption.
Key resources to monitor
Key resources to monitor
Leaders may also want to monitor these authoritative resources while adapting their own AI policies and procedures.
U.S. Department of Education
Federal AI guidance for schools and learning.
NIST Artificial Intelligence
The AI Risk Management Framework, Generative AI Profile, and trustworthy AI resources.
CISA Artificial Intelligence
Cybersecurity guidance for AI in government, business, and critical infrastructure.
FTC Artificial Intelligence
Business guidance and enforcement updates on truthful AI claims, consumer protection, and unfair or deceptive practices.
FDA Artificial Intelligence
Oversight of AI-enabled medical devices and clinical software.
Mississippi ITS AI Policy
The AI Acceptable Use Policy (PSG-100-03), which governs AI use within ITS and which ITS presents as a standard other agencies can adopt and build upon.
From governance to practical use
Policy templates help organizations define responsibilities and safeguards. MAIN prompting guides support day-to-day tasks, AI playbooks support controlled implementation, and free courses build foundational skills.
Need Help
Adapting AI policy guidance
MAIN can help leaders think through responsible AI adoption, stakeholder engagement, policy review, and practical implementation steps.