United States · Law
US state consumer privacy laws, profiling opt-outs and assessments
Most US state privacy laws let consumers opt out of profiling for significant decisions and require assessments of risky profiling. How the model works now.
Most US states with a comprehensive consumer privacy law give residents the right to opt out of profiling in furtherance of decisions that produce legal or similarly significant effects, and require a data protection assessment before profiling that presents a foreseeable risk of harm. Virginia set the model in 2023. Connecticut went further from July 2026, adding a right to question profiling decisions and a dedicated profiling impact assessment.
What it is
The United States has no federal consumer privacy law, but since 2023 a growing number of states have passed comprehensive ones. Most follow the model set by the Virginia Consumer Data Protection Act (VCDPA), which took effect on 1 January 2023. Two of its provisions matter for AI governance, a right to opt out of profiling and a duty to assess risky profiling. Because AI decision systems are usually profiling in the legal sense, these provisions reach a large share of AI used to make decisions about consumers.
This page describes that shared model and the main variation, Connecticut’s 2025 amendments. California regulates the same ground differently, through its CCPA ADMT regulations, and Colorado has layered an ADMT-specific law, SB 26-189, on top of the Colorado Privacy Act.
Who it applies to
Each state law applies to controllers, the businesses that decide why and how personal data is processed, that do business in the state or target its residents and cross that state’s thresholds, usually based on the number of residents whose personal data they process, sometimes combined with revenue from selling data. Thresholds differ, and some states have lowered them. Connecticut, for instance, now applies to controllers handling the data of at least 35,000 consumers, and to any controller processing sensitive data or selling personal data, whatever the volume.
Profiling in these laws means any form of automated processing of personal data to evaluate, analyse or predict aspects of a person’s economic situation, health, personal preferences, interests, reliability, behaviour, location or movements. Most credit, insurance, hiring, tenancy and pricing models qualify.
People acting in a commercial or employment context are generally not consumers under these laws, unlike California’s, so workplace AI is mostly covered by the employment laws instead, such as Illinois and NYC Local Law 144.
What it requires
Opt-out of profiling. Under the Virginia model, a consumer can opt out of the processing of their personal data for profiling in furtherance of decisions that produce legal or similarly significant effects concerning them (Va. Code § 59.1-577). Those decisions are defined to cover the provision or denial of financial and lending services, housing, insurance, education enrolment, criminal justice, employment opportunities, health care services and access to basic necessities such as food and water. Several states limit the right to solely automated decisions, and others apply it more broadly.
Data protection assessments. A controller conducts and documents a data protection assessment of processing that includes profiling where it presents a reasonably foreseeable risk of unfair or deceptive treatment of, or unlawful disparate impact on, consumers, financial, physical or reputational injury, intrusion on seclusion, or other substantial injury (Va. Code § 59.1-580). The assessment weighs the benefits to the controller, the consumer and the public against the risks, as reduced by safeguards. It is made available to the attorney general on request and is otherwise confidential.
Connecticut’s expanded rights. Public Act 25-113 amended the Connecticut Data Privacy Act with effect from 1 July 2026. The opt-out now covers profiling in furtherance of any automated decision with legal or similarly significant effects, not only solely automated ones. Where a consumer’s data was processed for such profiling, the consumer can, where feasible, question the result, be told the reason for the decision and review the personal data used. For housing decisions they can also correct inaccurate data and have the decision re-evaluated.
Connecticut profiling impact assessments. A controller that profiles to make decisions with legal or similarly significant effects conducts an impact assessment, for processing created or generated from 1 August 2026. It covers the purpose, intended uses, deployment context and benefits, any known or reasonably foreseeable heightened risk of harm and the mitigations, the categories of data used as inputs and the outputs, the data used to customise the profiling, performance metrics and known limitations, transparency measures, and post-deployment monitoring and user safeguards. That is close to the content of a standard AI impact assessment.
Key dates
- 1 January 2023. Virginia’s law takes effect. Most other state laws on the same model followed between 2023 and 2026.
- 1 July 2026. Connecticut’s expanded profiling rights and lower thresholds take effect.
- 1 August 2026. Connecticut’s profiling impact assessment duty applies to new processing.
How it relates to other frameworks
These provisions are descended from Article 22 and Article 35 of the GDPR, though the opt-out works differently from the GDPR’s default prohibition on solely automated decisions. They sit underneath the AI-specific state laws. A Colorado lender, for example, faces both the Colorado Privacy Act’s profiling opt-out and SB 26-189’s notice, explanation and human review duties for the same model.
Because most of these laws accept an assessment prepared for another law if it is reasonably similar in scope and effect, an organisation can run one structured assessment per AI system and read it against each state. An impact assessment structured around ISO/IEC 42005 or the NIST AI RMF covers most of what Connecticut’s list asks for.
Working with it in Aicura
US state framework content is available in Aicura on the Enterprise tier and is switched on in Settings under Frameworks. The AI Register records which systems profile consumers and the decisions they feed, and Data Provenance, Aicura’s map of where each system’s data comes from, records the datasets each system uses, which is the input and output description these assessments ask for. Impact assessments set out the rights affected and the mitigations, and the Cadence view shows how long ago each assessment was done and when it is going stale. Privacy policy reviews check your privacy notices against the frameworks you choose. Aicura gives guidance for your own judgement and your advisers’. It does not decide which state laws apply to you.
Last reviewed 17 October 2026. This page explains the framework to support your governance work. It is not legal advice; read the official source for the authoritative text.
Questions
What counts as a decision with legal or similarly significant effects?
Virginia defines it as a decision by the controller that results in the provision or denial of financial and lending services, housing, insurance, education enrolment, criminal justice, employment opportunities, health care services, or access to basic necessities such as food and water. Other states on the same model use similar lists, with some variation.
Is a data protection assessment the same as an AI impact assessment?
Not quite. A data protection assessment weighs the benefits of processing personal data against the risks to consumers, with the safeguards that reduce them. Where the processing is AI profiling, an AI impact assessment can cover the same ground and more, and most of these laws accept an assessment done for another law if it is reasonably similar in scope and effect.
Do the assessments have to be filed?
Generally no. They are kept on file and must be made available to the state attorney general on request, typically in connection with an investigation. California is the exception, with summary submissions to the CPPA from 2028.
Does California follow this model?
Only partly. California regulates the same ground through its CCPA regulations on automated decisionmaking technology and risk assessments, which are more prescriptive and are covered on their own page.
Use US state privacy laws on profiling in your Aicura reviews
Enable US state privacy laws on profiling as a framework in Aicura on the Enterprise plan and above, on top of the AI register every plan starts with.
