AI and Privacy: How to Write AI Disclosure in Your Privacy Policy

Why AI Disclosure Matters in Privacy Policies

Artificial intelligence has become ubiquitous in digital services. From chatbots powered by large language models like ChatGPT to recommendation algorithms and fraud detection systems, AI touches nearly every online interaction. This widespread adoption has created new privacy obligations that businesses must address in their privacy policies.

Users have a fundamental right to know when AI systems process their data, especially when those systems make decisions that affect them. Regulations like the GDPR explicitly require disclosure of automated decision-making, while emerging AI-specific laws like the EU AI Act impose additional transparency obligations. Beyond legal compliance, transparent AI disclosure builds trust with users who are increasingly concerned about how their data is used to train and operate AI systems.

The stakes for getting this wrong are significant. Regulatory fines for privacy violations can reach millions of dollars, and the reputational damage from undisclosed AI use can be even more costly. In 2024 and 2025, several high-profile cases resulted in enforcement actions against companies that failed to adequately disclose their AI practices.

AI Transparency Requirements: What Laws Require

Multiple privacy and AI regulations now require disclosure of automated processing. Understanding these requirements is essential for drafting compliant AI disclosures.

GDPR Requirements for Automated Decision-Making

The General Data Protection Regulation (GDPR) contains specific provisions about automated decision-making that apply to any business processing data of EU residents. Article 22 is the cornerstone of these requirements, but several other articles also mandate AI-related disclosures.

EU AI Act Transparency Obligations

The EU AI Act, which became fully applicable in 2025, introduces additional transparency requirements for AI systems. Providers and deployers of AI systems must ensure users are informed when they interact with AI. This includes clear disclosure when content is AI-generated and when AI systems are used for decision-making processes.

High-risk AI systems face even stricter requirements, including detailed documentation of system functionality, risk management measures, and human oversight mechanisms. If your business uses AI for hiring, credit scoring, or other high-risk applications, your privacy policy must reflect these enhanced obligations.

CCPA and US State Laws

California's CCPA, as amended by the CPRA, requires disclosure of automated decision-making technology used to make significant decisions about consumers. The law grants consumers the right to opt out of such processing and to request information about the logic involved. Other US states with full privacy laws, including Virginia, Colorado, and Connecticut, have similar provisions.

What to Disclose in Your AI Section

An effective AI disclosure section should be full yet accessible to non-technical readers. Here are the key elements your disclosure should address:

Common AI Use Cases and Disclosure Considerations

Different AI applications require different levels of disclosure detail. High-risk applications that significantly affect users require more full disclosure than low-risk uses.

Automated Decision-Making Under GDPR

GDPR Article 22 provides individuals with the right not to be subject to decisions based solely on automated processing, including profiling, which produces legal effects or similarly significantly affects them. This is one of the most important provisions to understand when drafting AI disclosures.

When Article 22 Applies

Article 22 applies when three conditions are met: (1) there is a decision, (2) the decision is based solely on automated processing including profiling, and (3) the decision produces legal effects or similarly significantly affects the individual. Examples include automated credit decisions, algorithmic hiring decisions, or automated insurance underwriting.

If your AI system makes recommendations that humans review before final decisions are made, Article 22 may not apply in its strictest form. However, you still have transparency obligations under Articles 13 and 14, which require informing individuals about the existence of automated decision-making and meaningful information about the logic involved.

Required Safeguards

Where automated decision-making is permitted (by consent, contract necessity, or legal authorization), you must implement appropriate safeguards. These include:

• The right to obtain human intervention
• The right to express their point of view
• The right to contest the decision
• Regular testing for bias and accuracy
• Documentation of decision-making logic

Opt-Out Rights for AI Processing

Users have various rights to opt out of AI processing, depending on the jurisdiction and type of processing involved. Your privacy policy should clearly explain these rights and provide practical mechanisms for exercising them.

GDPR Opt-Out Rights

Under GDPR, users can object to processing based on legitimate interests, which includes many AI applications. For automated decision-making under Article 22, users have the right not to be subject to such decisions except in limited circumstances. You must provide a clear mechanism for users to exercise these rights.

CCPA/CPRA Opt-Out Rights

California law specifically grants consumers the right to opt out of automated decision-making technology. Businesses must provide a clear opt-out mechanism and cannot discriminate against consumers who exercise this right. Your privacy policy should explain how consumers can opt out and what the consequences of opting out might be.

Practical Implementation

Effective opt-out mechanisms should be easy to find and use. Consider providing:

• A dedicated section in user account settings for AI preferences
• A clear email address or form for opt-out requests
• Explanation of what opting out means for service functionality
• Confirmation of opt-out requests within required timeframes
• Regular review of opt-out preferences

Sample AI Disclosure Text

The following sample text can be adapted for your privacy policy. Customize it based on your specific AI uses and applicable legal requirements.

Best Practices for AI Disclosure

Beyond meeting minimum legal requirements, following these best practices will help build user trust and future-proof your privacy policy against evolving AI regulations.

Use Plain Language

Avoid technical jargon when explaining AI use. Instead of "We deploy ensemble machine learning models for predictive analytics," say "We use AI to predict which products you might be interested in based on your browsing history." Users should understand what's happening without a computer science degree.

Be Specific About Third-Party AI

Name the third-party AI services you use. Users should know if their data is processed by OpenAI, Google, Microsoft, or other AI providers. This transparency is increasingly expected and may become legally required as AI regulations mature.

Update Regularly

AI capabilities evolve rapidly. Review your AI disclosure quarterly to ensure it reflects current practices. When you add new AI features, update your privacy policy before launch, not after.

Provide Meaningful Choices

Where possible, give users granular control over AI processing. Let them opt out of personalization while keeping fraud protection, or disable chatbot interactions while maintaining access to human support.

Frequently Asked Questions

Do I need AI disclosure if I only use basic analytics?

Basic analytics tools typically don't require specific AI disclosure unless they involve profiling or automated decision-making that affects users. However, if your analytics platform uses machine learning for predictions or user segmentation, disclosure is advisable.

How do I disclose ChatGPT or similar LLM use?

Be explicit that you use large language models for specific purposes (customer service, content generation, etc.). Mention the provider by name and explain what user data is shared with them. Note that conversations may be used to improve AI models unless you've opted out of training data use.

What if my AI vendor changes their practices?

Monitor your AI vendors' privacy policies and data processing agreements. When they make material changes, assess whether your disclosure needs updating. Consider contractual provisions requiring vendors to notify you of significant changes.

Do internal AI tools require disclosure?

If internal AI tools process customer data (even for internal purposes like support ticket routing), disclosure may be required. The key question is whether personal data is processed, not whether the tool is customer-facing.

How detailed should my AI disclosure be?

Strike a balance between fullness and readability. Cover all material AI uses but don't overwhelm users with technical details. Focus on what matters to users: what data is processed, why, and what their rights are.