Mississippi Artificial Intelligence Network
AI Policy Template for Businesses and Employers
A complete model company policy on employee use of AI that you can adapt, with the decisions you need to make marked, an editable copy, and guidance on what belongs in procedures.
It covers approved and prohibited uses, confidential information, customer claims, hiring and HR, AI-built software, AI agents, and training. It becomes your policy only when your company approves it.
- Who it serves
- Business owners, executives, and the people responsible for human resources, information technology and security, legal and compliance, and operations.
- What you get
- A 16-section model policy, an editable copy, a five-step adoption process, Mississippi, federal, and other-state context, and an implementation checklist.
- How to use it
- Fill in each bracketed decision, remove what does not fit, have an attorney review it, and approve it through your company’s usual process.
01 · Start here
Use the model at the level that fits your company
AI does not change most of a company’s legal duties. The rules on advertising, employment, privacy, contracts, and security still apply when the work is done with AI. A company AI policy states how those duties apply to AI tools and who decides what.
Keep the policy short and durable. Tool lists, vendor checklists, and department rules change often, so they belong in procedures that a manager can update without reapproving the policy.
| If your company is | Start with | Add when you are ready |
|---|---|---|
| Small: a few employees, no dedicated IT or legal staff | Sections 1 to 9 and 14 to 16. The owner or one manager serves as AI lead. Allow approved tools only. | Section 10 before AI is used in hiring or HR. Sections 12 and 13 before anyone builds automations or agents. |
| Growing: employees use AI daily, with some customer-facing use | The full model, with a review group and the vendor review in Section 7 applied to every new tool. | A yearly inventory of AI features in the software you already use. |
| Established or regulated: finance, insurance, health care, or large customer base | The full model, plus your sector’s rules. See MAIN’s finance and health care templates. | Regular testing of higher-risk uses for accuracy and effects on protected groups. |
How to read this page
02 · Model policy
Model company policy on the use of AI
The model below is a MAIN recommendation for adaptation. Where a provision repeats a legal obligation, the obligation comes from the law cited in the legal references, not from this model.
MAIN model for adaptation
Model Company Policy: Use of Artificial Intelligence
[Company name]
Policy [number]: Use of Artificial Intelligence
Approved by [owner, chief executive, or board]. Effective [date]. Last reviewed [date].
1. Purpose
[Company name] (the Company) uses artificial intelligence (AI) to work more efficiently and to serve customers well. AI use also creates risks to confidential information, accuracy, customers, employees, and the Company’s reputation. This policy sets the rules for using AI in Company work. Procedures issued under this policy set the details.
2. Scope
This policy applies to employees, [Local decision: contractors, temporary workers, and interns] when they use AI for Company work, on Company devices or networks, or with Company information. It covers stand-alone AI tools, AI features inside software the Company already uses, and AI agents.
3. Definitions
- Artificial intelligence. [Local decision: Use the definition in Mississippi law, shown here, or adopt your own.] “Artificial intelligence” means a machine-based system that can, for a given set of human-defined objectives, make predictions, recommendations or decisions influencing real or virtual environments. Artificial intelligence systems use machine- and human-based inputs to perceive real and virtual environments; abstract such perceptions into models through analysis in an automated manner; and use model inference to formulate options for information or action. (House Bill 1723, 2026 Regular Session, codified in Chapter 3, Title 1, Mississippi Code of 1972.)
- AI tool means any software, service, or product feature that uses artificial intelligence to generate content, analyze information, make predictions or recommendations, or take actions.
- AI agent means an AI tool that can take actions in other systems on its own, such as sending messages, making purchases, changing records, or running code.
- Approved AI tool means an AI tool the Company has approved under Section 7 for a stated purpose, group of users, and category of information.
- Confidential information means [Local decision: the categories defined in the Company’s data classification policy, or, if there is none,] nonpublic information about the Company, its customers, employees, suppliers, or partners, including trade secrets, financial information, personal information, contracts, source code, and security information.
- Higher-risk use means any AI use that (1) informs a decision about hiring, pay, promotion, discipline, termination, or other terms of employment; (2) informs a decision about a customer’s access to credit, insurance, housing, or another significant product or service; (3) communicates with customers or the public without a person reviewing each message first; (4) processes confidential information; (5) allows an AI agent to act for the Company; or (6) affects health, safety, or legal compliance.
4. Principles
Company use of AI will:
- serve a clear business purpose;
- keep people accountable for decisions and work products;
- protect confidential information and personal data;
- be truthful with customers and the public;
- treat applicants, employees, and customers fairly;
- be secure; and
- be checked for accuracy before anyone relies on it.
5. Responsibilities
- [Local decision: The owner or chief executive] will designate [Local decision: an AI lead or an AI review group] to maintain procedures under this policy, keep the list of approved AI tools, approve higher-risk uses, coordinate training, and coordinate the response to AI-related incidents.
- Managers will make sure their teams follow this policy and its procedures.
- Each employee is responsible for any work they produce, send, or approve with AI assistance.
6. Permitted, approved, and prohibited uses
- Permitted. Employees may use approved AI tools for drafting, summarizing, research, analysis, translation, coding assistance, and routine tasks, subject to Sections 8 through 13.
- Permitted with approval. Any higher-risk use, and any AI tool that is not yet approved, requires approval under Section 7 before use begins.
- Prohibited. No one may use AI for Company purposes to:
- enter confidential information into an AI tool that is not approved for that category of information;
- make a decision about hiring, pay, promotion, discipline, or termination based solely on AI output;
- create fake reviews or testimonials, or content that falsely appears to come from a real customer or other person;
- create images, audio, or video that falsely depict a real person;
- harass, threaten, or discriminate against any person;
- get around the Company’s security controls or technology use policies; or
- [Local decision: add any other prohibited uses the Company chooses].
7. Review and approval of AI tools
- Before an AI tool is approved, [the AI lead or review group] will review at least:
- the business purpose and the evidence that the tool serves it;
- what information the tool collects, how the provider uses, stores, and keeps it, and whether the provider uses Company information to train or improve its products;
- contract terms on confidentiality, ownership of inputs and outputs, security, breach notice, and use of subcontractors;
- security, including account controls, multifactor authentication, and logging;
- known limitations and error rates for the intended use;
- for an AI agent, the actions it may take, its spending or transaction limits, how its actions are logged, and who can stop it; and
- accessibility for employees and customers with disabilities.
- This review also applies when software the Company already uses adds AI features.
- The Company will keep a list of approved AI tools showing each tool’s approved purpose, users, and categories of information.
- Approval may be limited, paused, or withdrawn when a tool does not serve its purpose or meet these requirements.
8. Confidential information and security
- Confidential information may be entered only into AI tools approved for that category of information, under contract terms that protect it.
- Employees will use the least confidential information needed for the task.
- Personal information about customers and employees will be handled as required by law, by contract, and by the Company’s privacy commitments.
- AI tools are part of the Company’s cybersecurity program, including access control, multifactor authentication, and incident response.
- Because AI can imitate voices, video, and writing, employees must confirm unusual requests for payments, credentials, or information through a separate, known contact method before acting on them.
9. Customers, marketing, and public claims
- Claims about the Company’s products and services, including claims about AI features, accuracy, savings, or results, must be truthful and supported by evidence before they are made.
- The Company will not create, buy, or publish fake reviews or testimonials, including AI-generated reviews attributed to people who do not exist or did not have the experience described.
- AI tools that communicate with customers will [Local decision: tell customers they are interacting with AI], give customers a way to reach a person, and be monitored for accuracy.
- A person will review AI-generated public content, including prices, terms, guarantees, and factual statements, before it is published.
10. Employment and human resources
- AI may assist with employment decisions but may not be the sole basis for them.
- AI tools used in recruiting, hiring, scheduling, evaluation, discipline, or termination are higher-risk uses. Before use, they will be reviewed for job-relatedness, effects on groups protected by law, accessibility, and the vendor’s evidence.
- Applicants and employees may ask for a reasonable accommodation or [Local decision: an alternative process] when an AI tool is part of an employment process.
- [Local decision: State whether and how the Company tells applicants and employees when AI is used in employment decisions. Some states require notice.]
- Using AI to monitor employees requires approval by [Local decision: human resources and legal counsel].
11. Intellectual property, content, and records
- Employees must respect intellectual property, license terms, and confidentiality obligations to others, and may not upload material the Company does not have the right to use in that way.
- AI output must be reviewed for accuracy, originality, and rights before external use. Material generated entirely by AI may not be protected by copyright.
- Prompts, outputs, and related records used for Company decisions will be kept or deleted under [Local decision: the Company’s records retention schedule].
12. Software and automations built with AI
- Scripts, applications, websites, integrations, low-code workflows, and agents created with AI must meet the Company’s software, data, and change-control requirements, including software that contains no AI when it runs.
- Permission to use a coding tool does not authorize deploying its output. Review under [Local decision: the Company’s change-control process] is required before AI-built software uses confidential information, receives privileged access, is shared, or is relied on for operations, including scheduled internal use.
- The Company will record each authorized release with its business owner, technical maintainer, review evidence, known risks, and reassessment date.
- [Local decision: Optional. The authorized policy owner must establish this evaluation lane.] Within a documented scope approved by [Local Authority], technical staff may test permitted models on Company-controlled systems without approval for each trial. Record permitted models and data, excluded technologies, network and telemetry limits, security controls, the owner, and stop conditions. Use no confidential information, and send no prompts, data, or telemetry outside approved systems. This lane does not waive acquisition, security, licensing, or data requirements. Operational reliance, sharing, new access, disclosure, or consequential actions require review under Section 7.
13. AI agents
- An AI agent may act for the Company only within the systems, information, actions, and spending or transaction limits approved under Section 7.
- Each AI agent will have a named person who is responsible for it and who can stop it.
- A qualified authorized person must review and approve each proposed contract acceptance, payment, public statement, system-of-record change, or other consequential action before execution. Approval of a tool, workflow, or transaction limit does not replace that review. Any advance permission for low-consequence actions must be expressly defined in adopted policy, enforced by technical limits, and exclude actions that require individual review.
- Agent actions will be logged and reviewed [Local decision: at a set frequency].
14. Incidents
Employees must report AI-related incidents to [office or person] promptly. Incidents include exposure of confidential information, false statements to customers, harmful or discriminatory output, unauthorized use of AI tools, and fraud attempts that use AI. Incidents will be handled under the Company’s incident response procedures, including notice to affected people where law or contract requires it.
15. Training
The Company will provide training on this policy before employees use AI for Company work. Training covers approved tools, rules for confidential information, checking AI output, recognizing AI-enabled fraud, and reporting incidents. Employees must complete [Local decision: the required training] before any higher-risk use.
16. Compliance and review
- Violations of this policy may result in [Local decision: discipline under the Company’s usual procedures, up to and including termination].
- [The AI lead or review group] will review this policy at least [Local decision: once a year] and when relevant law, tools, or business needs change, and will report to [owner, chief executive, or board] on approved tools, incidents, and recommended changes.
Legal references
Legal references. [Local decision: Confirm with counsel and keep only those that apply.]
- Federal Trade Commission Act, Section 5, 15 U.S.C. § 45
- Trade Regulation Rule on the Use of Consumer Reviews and Testimonials, 16 C.F.R. Part 465
- Title VII of the Civil Rights Act of 1964, 42 U.S.C. § 2000e et seq.
- Americans with Disabilities Act, Title I, 42 U.S.C. § 12111 et seq.
- Age Discrimination in Employment Act, 29 U.S.C. § 621 et seq.
- Section 75-24-29, Mississippi Code of 1972 (notice of breach of security)
- House Bill 1723, 2026 Regular Session (definition of artificial intelligence)
Laws of other states where the Company has employees or customers: [Local decision: for example, Illinois Public Act 103-0804 or Colorado Senate Bill 26-189]. Cross-references: [technology acceptable use; information security; data classification; privacy; records retention; equal employment opportunity; procurement]
Get the editable copy
The download contains the same model policy, with every decision highlighted. Save a working copy in your company’s approved editor before you change it.
Download model policy (.docx) Plain-text version (.txt)
Next, record each choice with MAIN’s Adapt and Adopt companion and decision worksheet.
03 · Document structure
What goes in policy, procedures, and team guidance
Separate documents let the policy stay stable while procedures keep pace with new tools.
| Document | Usually approved by | What belongs there |
|---|---|---|
| Company policy | The owner, chief executive, or board | Purpose, scope, authority, boundaries, responsibilities, and review. The model policy above. |
| Procedures | The AI lead or review group | The approved-tool list, the vendor review checklist, rules for each category of information, incident steps, and training requirements. |
| Team guidance | Department managers, within the procedures | Approved uses for a department, prompt examples, review steps for specific work products, and customer-facing scripts. |
| Implementation advice | Not adopted | Recommended practices, examples, and pitfalls, such as the guidance and checklist on this page. |
Keep tool names out of the policy. A rule such as “the sales team may use a named AI tool to draft proposals” belongs in procedures or team guidance. The policy should say only that approved tools are listed and who approves them.
04 · Adapt and adopt
Five steps from template to approved policy
Name an owner
Choose who drafts the policy and who signs off. In a small business that may be the owner. In a larger company, include HR, IT or security, legal or compliance, and a business leader.
List the AI already in use
Ask each team what it uses, including AI features inside software you already pay for and personal AI accounts used for work. The list shows which provisions you need now.
Make each decision
Fill in every bracketed decision and delete provisions you will not use. Record why you chose each option with the Adapt and Adopt decision worksheet.
Review and approve
Have an attorney review the draft, especially Sections 9 and 10 and any obligations from states where you have employees or customers. Then approve it through your company’s usual process.
Put it to work
Publish the approved-tool list, train employees, add AI questions to purchasing, and set the date for the first review.
05 · Mississippi context
What applies in Mississippi
Private companies in Mississippi set their own AI rules within existing law. MAIN does not regulate AI use and does not set state AI policy. [4]
Law State definition of artificial intelligence
House Bill 1723 of the 2026 Regular Session defines artificial intelligence in Mississippi law, effective July 1, 2026. It sets a definition only. The model policy offers it as an option in Section 3. [1]
Law Notice of a data breach
Section 75-24-29 of the Mississippi Code requires a business to notify affected Mississippi residents, without unreasonable delay, after unauthorized acquisition of certain unencrypted personal information, such as a name combined with a Social Security number, driver’s license number, or financial account number with its access code. [2] If an employee enters that kind of information into an unapproved AI tool, treat it as a possible incident under Section 14 and involve your attorney.
Official guidance The ITS AI Acceptable Use Policy
The Mississippi Department of Information Technology Services (ITS) approved its AI Acceptable Use Policy on November 25, 2025. It governs AI use by ITS staff, not private companies. Its rules, such as human review of AI output and no confidential data in unapproved tools, are a useful benchmark, and companies that sell AI-enabled products or services to state agencies should read it. [3]
Legislative study
The Artificial Intelligence Regulation (AIR) Task Force, created by Senate Bill 2426 in 2025, studies AI policy and reports to the Legislature. Watch its reports for possible future legislation. [5]
For the wider picture, see Who sets AI policy in Mississippi.
06 · Federal law and guidance
Federal law and guidance to check
These federal sources bear on the uses the model policy covers. Confirm with your attorney which apply to your company.
| Source | Type | What it means for AI use |
|---|---|---|
| Federal Trade Commission Act, Section 5 | Law | Section 5 prohibits unfair or deceptive acts or practices within its coverage. The FTC announced Operation AI Comply in September 2024. One case concerned Rytr’s review-generation service, but the Commission reopened and set aside that consent order on December 22, 2025. Do not treat the former order as a current restriction or a finding that the service violated Section 5. The separate fake-review rule, 16 C.F.R. Part 465, remains distinct. Claims about AI capabilities or results need evidence. [6] |
| Consumer Reviews and Testimonials Rule, 16 C.F.R. Part 465 | Law | Prohibits fake reviews and testimonials, including AI-generated reviews attributed to people who do not exist. The FTC announced the final rule on August 14, 2024, and can seek civil penalties against knowing violators. [7] |
| Title VII, the ADA, and the ADEA | Law | Prohibit employment discrimination and apply when AI tools are used in hiring and other employment decisions. Title VII and the ADA cover employers with 15 or more employees, and the ADEA covers employers with 20 or more, counting employees who worked at least 20 calendar weeks in the current or prior year. [8] The EEOC removed its AI technical assistance documents in early 2025. The laws themselves did not change. [9] |
| Department of Justice, Algorithms, Artificial Intelligence, and Disability Discrimination in Hiring | Official guidance | Explains how AI hiring tools can screen out people with disabilities and why employers must offer reasonable accommodations. [10] |
| U.S. Copyright Office, Copyright and Artificial Intelligence, Part 2 (January 29, 2025) | Official guidance | Concludes that copyright does not extend to purely AI-generated material and that prompts alone do not provide enough control. Human contributions, including creative selection, arrangement, and modification, can be protected. [11] |
| Executive Order 14365, Ensuring a National Policy Framework for Artificial Intelligence (December 11, 2025) | Executive order: federal executive-branch directions | Executive Order 14365 directs federal officials to take specified actions concerning state AI laws. It is not itself a general exemption from applicable state law. An agency position, proposed policy statement, or filed lawsuit is not a judicial ruling that a particular state requirement is preempted. Confirm the controlling statute, final agency action, or court order for the actual issue. [12] |
Voluntary frameworks can help organize the review in Section 7 and the security work in Section 8: the NIST AI Risk Management Framework and its Generative AI Profile, NIST Cybersecurity Framework 2.0, NIST’s incident response guidance, CISA’s Cross-Sector Cybersecurity Performance Goals, and NIST’s Secure Software Development Framework for Section 12. [17] [18] [19]
07 · Other states
If you have employees or customers in other states
State laws can apply based on where your employees and customers are, not only where your company is based. Two examples employers often encounter:
| State law | Status | What it requires |
|---|---|---|
| Illinois Public Act 103-0804 (House Bill 3773) | Act effective January 1, 2026. May 15 proposed notice provisions withdrawn June 26, 2026. The official cumulative index through October 23 lists the proposal and withdrawal, with no adopted replacement listed for Part 2520. | For covered employment uses, 775 ILCS 5/2-102(L) addresses discriminatory effects, ZIP codes used as proxies for protected classes, and notice to employees. The statute remains distinct from IDHR’s withdrawn procedural proposal. Counsel should determine the recipients, timing, and method required for the actual use; do not treat the withdrawn proposal as current procedure. [15] |
| Colorado Senate Bill 26-189 | Enacted May 14, 2026; specified duties apply from January 1, 2027. Rulemaking and current court-order status require confirmation for the actual use. | The act specifies developer and deployer duties for covered automated decision-making uses, including notices, post-adverse-outcome information, data correction, and human-review routes. Scope and exemptions matter. The AG’s October 6 interim draft and October 21 regulatory analysis are rulemaking materials, not final rules. Confirm later filings and any controlling court order before treating a deadline or enforcement position as settled. [16] |
Other states and cities have their own rules, and several are changing. List the states where you hire or sell, and ask your attorney which laws apply. Record the answer in Section 10 and in the legal references.
08 · Guidance by topic
Guidance for procedures and team rules
These notes are MAIN recommendations. Use them to write the procedures the policy calls for. Each topic lists the decisions to make and the pitfalls to avoid.
Confidential information and data
Decide in procedures
- Which categories of information may go into which approved tools, stated as a simple table employees can follow.
- Whether employees may use personal AI accounts for any Company work, and for what.
Common pitfalls
- Pasting customer lists, payroll data, contracts, source code, or incident details into public AI tools.
- Relying on a provider’s privacy page instead of contract terms on training, retention, and deletion.
Customers, marketing, and sales
Decide in procedures
- Who reviews AI-generated marketing, proposals, and customer messages before they go out.
- What evidence is needed before the Company claims savings, accuracy, or results from AI.
- When customer-facing AI must hand off to a person.
Common pitfalls
- Unsupported claims about AI features, sometimes called AI washing.
- Chatbots that state wrong prices, terms, or guarantees with confidence.
Hiring and human resources
Decide in procedures
- Which HR tasks may use AI, and where a person must make the decision.
- What the Company asks vendors to show about testing for job-relatedness and effects on protected groups.
- How applicants request an accommodation or alternative process.
Common pitfalls
- Treating a vendor’s “bias tested” label as enough.
- Letting AI scores quietly become final decisions, or screening out qualified people with disabilities.
AI agents and AI-built automations
MAIN recommends treating any AI that can send messages, publish content, make purchases, change prices or records, or operate connected systems as higher risk than a chat assistant. Give it approved data access, transaction limits, logs, exception handling, and a named person with authority to stop it. Apply the same software review to scripts and workflows built with AI that you apply to any other software. The model policy covers this in Sections 12 and 13.
Security and AI-enabled fraud
Decide in procedures
- How employees confirm unusual payment, credential, or data requests, given that AI can imitate a familiar voice or writing style.
- How AI tools are added to access control, multifactor authentication, and incident response.
Common pitfalls
- Assuming a model is safe because it runs on your own hardware, or connecting an experimental agent to email, files, or payment systems too early.
- Treating an AI mistake as ordinary user error when it may require breach review or customer notice.
Vendors and purchasing
Decide in procedures
- The AI questions added to every software purchase and renewal: data use and training, retention, subcontractors, security, error rates, and support for your legal obligations.
- Who accepts the remaining risk for a higher-risk tool.
Common pitfalls
- Missing AI features that arrive through routine product updates.
- Buying AI through the normal software process without reviewing how the model behaves or what it keeps.
Content, intellectual property, and records
Decide in procedures
- When prompts and outputs become business records, and how long they are kept.
- What documentation is kept for important AI-assisted decisions: who used the tool, for what, with what source material, and what a person reviewed.
Common pitfalls
- Assuming AI output is original or owned by the Company.
- Uploading another company’s confidential or licensed material.
09 · Checklist
Implementation checklist
Before approval
- Every bracketed decision is made and unused provisions are removed.
- The policy names who approves AI tools and higher-risk uses.
- You know the states where you have employees and customers, and your attorney has reviewed the draft.
Before employees rely on AI
- The approved-tool list shows which information each tool may receive.
- Employees know what they may not enter into AI tools and how to report a mistake.
- Customer-facing and HR uses have been reviewed under Section 7.
Within the first year
- Employees have completed training.
- Contracts for AI-enabled software have been checked for data use and retention.
- AI incidents and AI-enabled fraud are part of incident response.
- The first policy review is scheduled.
10 · Prepare your team
Build skills while the policy moves forward
The policy asks employees to check AI output and protect confidential information. Training makes that workable.
MAIN resources for Mississippi employers
- Free AI courses: online and self-paced, free for Mississippi participants, including AI in Business, AI in Cybersecurity, and Generative AI: Governance, Policy, and Emerging Regulation. See the catalog for current enrollment dates.
- AI for Mississippi business and industry, MAIN’s starting point for employers.
- Cybersecurity AI Playbook and beginner prompts for small business.
- MAIN services and support for organizations planning AI adoption.
Questions about this template? Contact MAIN.
Sources and notice
Sources
Checked October 26, 2026. Laws and guidance change. Confirm current text with the source before relying on it.
- Law Mississippi Legislature, House Bill 1723, 2026 Regular Session, and bill history (approved March 9, 2026; Chapter 311; effective July 1, 2026).
- Law Mississippi Legislature, HB 277 (2021), §9, amending Mississippi Code §75-24-29 (tribal-ID amendment effective July 1, 2021). Read the full definitions, investigation and notice conditions, processor duties, and alternatives. Confirm the current codified text and any later amendments with counsel before relying on it.
- Official guidance Mississippi Department of Information Technology Services, AI Acceptable Use Policy information (approved November 25, 2025).
- MAIN Who sets AI policy in Mississippi.
- MAIN Mississippi AI Regulation Task Force (Senate Bill 2426, 2025 Regular Session).
- Enforcement history FTC, Operation AI Comply announcement, September 25, 2024; Rytr case record and set-aside order, December 22, 2025. Law: 15 U.S.C. §45. The separate reviews rule is cited below.
- Law Federal Trade Commission, final rule banning fake reviews and testimonials, August 14, 2024, and Federal Register notice, August 22, 2024.
- Official guidance U.S. Equal Employment Opportunity Commission, Coverage of Business/Private Employers.
- Analysis Cooley, Gone but Not Forgotten: Federal Laws Still Apply Despite AI Guidance Disappearance Act, February 21, 2025.
- Official guidance U.S. Department of Justice, Algorithms, Artificial Intelligence, and Disability Discrimination in Hiring.
- Official guidance U.S. Copyright Office, Copyright and Artificial Intelligence, Part 2: Copyrightability, January 29, 2025, and related reports.
- Executive order Executive Order 14365, Ensuring a National Policy Framework for Artificial Intelligence, 90 Fed. Reg. 58499, December 16, 2025.
- Official guidance Federal Trade Commission, FTC Seeks Public Comment on Policy Statement Addressing AI Accuracy, July 1, 2026 (proposed).
- Analysis The Regulatory Review, The Hidden Costs of AI Preemption, October 7, 2026.
- Law and rulemaking record Illinois General Assembly, Public Act 103-0804, 775 ILCS 5/2-102(L); Illinois Register, vol. 50, issue 26, p. 8755, June 26, 2026 (withdrawal); cumulative index through October 23, 2026, Part 2520. Check later official filings.
- Law and pending rulemaking Colorado General Assembly, SB26-189; Colorado Attorney General, current ADMT rulemaking materials. Confirm the current enacted provisions, final rules, and controlling court orders.
- Voluntary framework National Institute of Standards and Technology, AI Risk Management Framework and Generative AI Profile (NIST AI 600-1), July 26, 2024.
- Voluntary framework NIST, Cybersecurity Framework 2.0 and SP 800-61 Rev. 3, incident response, April 2025; CISA, Cross-Sector Cybersecurity Performance Goals; FBI, Criminals Use Generative Artificial Intelligence to Facilitate Financial Fraud, December 3, 2024.
- Voluntary framework NIST, Secure Software Development Framework, SP 800-218, Version 1.1, February 2022; OWASP, Top 10 for Large Language Model Applications.
Notice
This business AI policy template is a planning resource. It is not a final institutional policy, legal advice, or a mandatory model. Adapt it to your organization’s mission, legal and regulatory environment, risk profile, people, data, systems, and operating context.
This template is offered as general information for consideration. It carries no warranty, and nothing in it states what any organization is required to do. Statements about law, regulation, and agency guidance may be incomplete or become outdated. Users remain responsible for their decisions and outcomes. MAIN and Mississippi Gulf Coast Community College accept no responsibility or liability for its use. See Legal Information.