AI Privacy Policy — What Your AI-Powered App Needs in 2026
Artificial intelligence is no longer a niche technology — it's embedded in everything from customer support chatbots to content generation tools, recommendation engines, and code assistants. If your app or website uses AI in any capacity, your privacy policy must account for it, and a growing body of law now spells out what you have to tell users. Here's why AI changes your disclosure obligations, what the major regulations actually require, and exactly what to include.
This article is general information about how privacy and AI rules tend to work. It is not legal advice, and it does not tell you what your specific app is required to do. Which laws apply — and how — depends on where you operate, who your users are, and what your AI actually does. Consult a qualified lawyer for advice on your situation.
Why AI Requires Special Privacy Disclosures
Traditional privacy policies cover the basics: what data you collect, how you store it, and who you share it with. AI layers several distinct concerns on top of that foundation:
- Training data: Is user data used to train or fine-tune models?
- Automated decision-making: Does AI make decisions that affect users (e.g., credit scoring, content moderation, hiring, pricing)?
- Third-party AI providers: Are you sending user data to OpenAI, Google, Anthropic, or other providers?
- Data retention by AI providers: Do these providers retain conversation logs or prompts, and for how long?
- Synthetic output: Are you generating text, images, audio, or video that a user might mistake for human-made or factual?
These are not hypothetical worries. Under the EU's General Data Protection Regulation (GDPR), Article 22 gives a person "the right not to be subject to a decision based solely on automated processing, including profiling, which produces legal effects concerning him or her or similarly significantly affects him or her." (GDPR Art. 22(1)) Separately, the EU AI Act — which entered into force on 1 August 2024 and becomes broadly applicable on 2 August 2026 — adds transparency duties that apply regardless of GDPR.
Who These Rules Actually Apply To
A common misconception is that EU and California rules only bind companies based in those places. They don't. The GDPR can apply to organizations outside the EU when they offer goods or services to people in the EU or monitor their behavior, so a US-based app with EU users can be in scope. California's privacy regime applies to qualifying businesses that handle California residents' personal information, and the EU AI Act reaches providers and deployers whose systems are placed on the EU market or whose output is used in the EU. In short, if you have users in these jurisdictions, assume the relevant rules may apply — and that your privacy policy is one of the first documents a regulator will read.
What Your AI Privacy Policy Must Include
1. Disclosure of AI Usage
State clearly that your app uses AI technology. Be specific about what AI does — don't hide it behind vague language like "advanced algorithms."
Example: "Our application uses artificial intelligence, including large language models provided by OpenAI, to generate content recommendations and respond to user queries."
2. Data Sent to AI Models
Users need to know what data is sent to AI systems. This includes:
- User prompts and queries
- Uploaded documents or images
- Contextual data (browsing history, preferences)
- Personal information included in prompts
3. Third-Party AI Providers
If you use third-party AI APIs (OpenAI, Google Vertex AI, Anthropic Claude, etc.), you must disclose:
- Which providers you use
- What data is sent to them
- Their data retention and training policies
- Whether they operate in a different jurisdiction
4. Training Data and Opt-Out
Whether user data feeds back into model training is one of the most sensitive AI questions, so address it head-on. Where personal data could be used to improve or train AI models, a sound practice is to:
- Disclose the practice plainly, rather than burying it in a "we use data to improve our services" clause
- Identify the legal basis you rely on and, where consent is the basis, make it freely given and easy to withdraw
- Provide a clear control or opt-out where one is required or expected
- Explain, as best you can, what happens to data that has already been incorporated into a model
Many commercial AI APIs now state by default that data submitted through their business/API tier is not used to train their models. If you rely on that, say so — and keep your wording consistent with the provider's actual current terms, because those terms change.
5. Automated Decision-Making
This is where AI privacy law has the sharpest teeth. Under GDPR Article 22, a person generally has the right not to be subject to a decision based solely on automated processing that produces legal effects or similarly significant effects on them — think credit, insurance, employment, or access to a service. Where one of the law's exceptions applies (for example, the decision is necessary for a contract or based on explicit consent), the controller must still put safeguards in place — at minimum, "the right to obtain human intervention on the part of the controller, to express his or her point of view and to contest the decision." (GDPR Art. 22(3))
GDPR also requires that, at the point you collect someone's data, you tell them about "the existence of automated decision-making, including profiling … and, at least in those cases, meaningful information about the logic involved, as well as the significance and the envisaged consequences of such processing." (GDPR Art. 13(2)(f)) In your policy, that translates to:
- Stating that automated decision-making or profiling takes place, and where
- Describing the logic in meaningful (not necessarily source-code-level) terms
- Explaining the significance and likely consequences for the individual
- Offering a route to human review, to express a view, and to contest the outcome
The US is moving in a similar direction. California's privacy regulator finalized rules covering automated decisionmaking technology (ADMT) that give consumers the right to opt out of, and access information about, ADMT used for significant decisions, supported by a "pre-use notice." Businesses using ADMT for significant decisions must comply beginning January 1, 2027. Colorado's AI Act takes a related approach for "consequential decisions," requiring deployers of high-risk systems to notify affected consumers and, in many cases, offer a chance to correct data and appeal, with obligations effective February 1, 2026.
6. AI System Disclosure and AI-Generated Content
The EU AI Act adds two transparency duties that matter even if you never make an "automated decision." First, providers must ensure that AI systems "intended to interact directly with natural persons" let people know "that they are interacting with an AI system," unless that's obvious. (EU AI Act Art. 50(1)) In plain terms: label your chatbot as a bot. Second, where you generate synthetic audio, image, video, or text, the outputs must be "marked in a machine-readable format and detectable as artificially generated or manipulated." (EU AI Act Art. 50(2)) These transparency rules apply from 2 August 2026.
On top of those legal duties, if your app generates content with AI it's good practice to include a disclaimer that:
- AI-generated content may contain errors, omissions, or inaccuracies ("hallucinations")
- Content should not be relied upon as professional, legal, medical, or financial advice
- Users are responsible for reviewing and verifying AI-generated output before acting on it
Regulations You Need to Know
The table below is a high-level map, not a substitute for reading the law or getting advice on whether each regime applies to you. Dates and details change as regulators issue guidance.
| Regulation | Core AI-related requirement | Timing |
|---|---|---|
| GDPR Art. 22 | Right not to be subject to solely automated decisions with significant effects; safeguards including human intervention | In force |
| GDPR Art. 13(2)(f) | Inform individuals of automated decision-making and the logic, significance, and consequences | In force |
| EU AI Act Art. 50 | Tell users they're interacting with AI; mark AI-generated content as synthetic | Applies 2 Aug 2026 |
| California ADMT rules (CCPA) | Pre-use notice, opt-out, and access rights for automated decisionmaking technology | Compliance from 1 Jan 2027 |
| Colorado AI Act (SB 24-205) | Notice and appeal for high-risk "consequential" AI decisions; disclose AI interactions | Effective February 1, 2026 |
Other jurisdictions are following the same themes — AI-interaction disclosure, transparency about automated decisions, and a human in the loop — so a policy built around these principles tends to travel well even as new rules appear.
A Practical Checklist
If you're reviewing your own policy, these questions map to the obligations above:
- Does the policy say, in plain language, that you use AI and roughly what it does?
- Does it name the third-party AI providers that receive user data, and link to their terms?
- Does it explain what data is sent to AI systems (prompts, uploads, context) and whether it's used for training?
- If AI makes or heavily influences decisions about users, does it cover the logic, the consequences, and the right to human review?
- Are users told when they're talking to a bot, and is AI-generated output identified as such?
- Is there a disclaimer that AI output can be wrong and isn't professional advice?
Generate Your AI-Ready Privacy Policy
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