Website AI: compliance, transparency, and user trust (basics)

AI features on a public website can touch advertising law, consumer protection, accessibility standards, sector-specific rules (for example health or finance in some jurisdictions), and data protection law—all at once. Addressing these topics early is usually cheaper than retrofitting.

This section highlights common themes. It is not exhaustive and is not legal advice for your situation.

If you process personal data, you typically need a lawful basis, transparency (privacy notice), data minimization, and security measures appropriate to risk. International transfers may require additional safeguards. Chat logs can contain sensitive information; classification and retention policies should be explicit.

Users should be able to understand what is collected, why, and for how long, in plain language.

Regulatory frameworks—including the EU Artificial Intelligence Act and consumer-protection norms in various regions— increasingly emphasize transparency for certain automated systems. Requirements depend on risk class and context. Disclosing that users are interacting with AI, and avoiding impersonation of humans without disclosure, aligns with both law and user trust in many markets.

Digital accessibility standards (such as WCAG-oriented practice in many jurisdictions) apply to interactive components, including chat interfaces. Designing for diverse users is not only a legal theme in some contexts but also expands your audience and reduces friction.

Fairness considerations include testing across languages and demographics where relevant, and reviewing for biased or exclusionary behaviour before wide release.

Maintaining records of intended use, risk assessments where required, vendor contracts, and change history supports audits and incident response. Even lean teams benefit from a single place that describes what the system may and may not do.