1. Purpose
This policy sets the rules for AI use at [Organization Name]. It defines what AI may and may not be used for, establishes acceptable use standards, and communicates the organization's commitments to customers, employees, and the public. It applies alongside the Responsible AI Principles and translates those principles into concrete rules.
2. Scope
This policy applies to all AI use across the organization: internal tools, customer-facing systems, third-party AI services, prototypes, and experiments. It applies to all employees, contractors, and partners regardless of role or seniority.
It covers AI accessed through a personal account or a free tier as well as tools the organization pays for. A tool bought on an individual credit card and used for work is still in scope.
2.1 Approved tools and how to request a new one
[Organization Name] maintains a list of AI tools that have been reviewed and approved for use, held at [location of approved tool list] and owned by [AI Governance Lead]. The list records what each tool is approved for and the highest data classification it may be given.
- Use an approved tool for the purpose it was approved for. Approval for one purpose is not approval for every purpose.
- To request a tool that is not on the list, submit a request to [AI Governance Lead] with the business need, the data it would process, and the vendor's terms covering whether inputs are used for training.
- Do not put organizational data into an unapproved tool while a request is pending.
- Free and personal-account versions of an approved tool are not covered by that approval, because the terms governing training on inputs are usually different.
- Tools embedded in software already in use, such as an assistant added to an existing suite, still need review before staff rely on them for work.
3. Prohibited uses
The following uses of AI are prohibited without exception:
3.1 Prohibited under EU AI Act Article 5
- Social scoring: evaluating individuals based on social behavior or personality traits for purposes unrelated to the context in which the data was collected.
- Subliminal manipulation: deploying AI techniques that manipulate individuals below their threshold of awareness to distort their behavior in a way that causes harm.
- Exploitation of vulnerabilities: targeting individuals or groups based on age, disability, or social/economic situation to distort their behavior.
- Real-time remote biometric identification in publicly accessible spaces for law enforcement, except where explicitly authorized by law.
- Emotion inference in workplace or educational settings, except for medical or safety reasons.
- Untargeted scraping of facial images from the internet or CCTV for facial recognition databases.
3.2 Prohibited by organizational policy
- Using AI to make final decisions about individuals' employment, credit, insurance, or legal standing without human review.
- Deploying AI systems that cannot be overridden, corrected, or shut down by a human operator.
- Using personal data for AI training without a documented lawful basis.
- Deploying AI in ways that deliberately deceive users about the nature of the interaction.
- Using AI to generate false evidence, fabricated references, or misleading content presented as factual.
- Circumventing AI governance processes (shadow AI) for production use cases.
4. Acceptable use standards
Placeholder. Populate with your organization's language for 4. Acceptable use standards.
4.1 General use
- AI may be used for productivity, research, analysis, and content drafting with appropriate human review.
- AI outputs must be reviewed by a qualified person before being used in external communications, contractual documents, or decisions affecting individuals.
- Users must not input confidential or restricted data into AI tools that have not been approved through the governance process.
- Users must disclose AI involvement when producing work product that others will rely upon.
4.2 Customer-facing use
- Users interacting with AI must be informed that they are interacting with an AI system (EU AI Act Article 50).
- AI-generated content must be identifiable as such when it could be mistaken for human-produced content.
- Customers must have access to a human alternative for decisions that materially affect them.
4.3 Development use
- AI coding assistants may be used but generated code must be reviewed, tested, and owned by the developer.
- AI-generated code must not bypass security review or testing requirements.
- AI must not be used to generate test results or compliance evidence.
5. Reporting violations
Any employee who observes or suspects a violation of this policy must report it through one of the following channels:
Reports may be made anonymously. Retaliation against good-faith reporters is prohibited.
- Direct report to the AI Governance Lead.
- Report through the organization's ethics or compliance hotline.
- Report to their direct manager, who must escalate to the AI Governance Lead within 48 hours.
6. Consequences
Violations of this policy may result in:
- Immediate suspension of the AI system involved.
- Mandatory remediation with a defined timeline.
- Disciplinary action up to and including termination for individuals who deliberately violate prohibited use rules.
- Termination of vendor relationships where third-party AI violates this policy.
7. Regulatory alignment
- EU AI Act: Article 5 (prohibited practices), Article 50 (transparency obligations), Article 14 (human oversight).
- GDPR: Article 22 (automated decision-making rights).
- ISO/IEC 42001: Clause 5.2 (AI policy), Annex C (AI ethical considerations).
- OECD AI Principles: Human-centered values and fairness.
8. Review
This policy is reviewed annually or when triggered by new prohibited practices under regulation, organizational incidents, or changes in AI capabilities that create new ethical considerations.
Document control
| Field | Value |
|---|---|
| Policy owner | [AI Governance Lead] |
| Approved by | [AI Governance Committee] |
| Effective date | [Date] |
| Next review date | [Date + 12 months] |
| Version | 1.0 |
| Classification | Internal |