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Why generative AI needs specific rules
Generative AI tools are easy to use and easy to misuse. Employees can produce content quickly, but outputs may be inaccurate, biased, copyrighted, confidential, or inappropriate for regulated decisions. A specific policy helps teams use the productivity benefits without ignoring risk.
Policy sections
- Approved generative AI tools and accounts.
- Prompt and data restrictions.
- Content review and fact-checking requirements.
- Rules for code generation and security review.
- Disclosure and labelling for AI-generated content.
- Copyright and third-party rights considerations.
- Customer, employee and regulated-use restrictions.
- Incident reporting and monitoring.
Practical examples
Marketing teams can use generative AI for drafts and ideas, but must review facts and brand claims. Developers can use coding assistants, but must review security, licences and correctness. HR teams should not use generative AI to make or rank employment decisions without formal approval and controls.
FAQ
Is generative AI policy different from general AI policy?
It is often a section of the general AI policy, but generative AI deserves specific rules for prompts, data, content, code and disclosure.
Should AI-generated content be labelled?
In many cases, transparency is expected or required, especially for chatbots, deepfakes and public-interest content.
Can employees use free AI tools?
Only if your company approves them and understands data, security and contractual implications.
Sources and review method
This page is written as general business guidance, not legal advice. It is maintained from official AI Act materials, European Commission / AI Office updates, the NIST AI Risk Management Framework and practical AI governance controls.