Connecticut AG Issues Guidance on How Existing Laws Apply to AI Systems
Connecticut Attorney General William Tong released a memorandum on February 25 explaining how state laws already on the books apply to artificial intelligence systems used in tenant screening, employment decisions, lending, insurance claims, and targeted advertising.
The guidance signals that Connecticut will enforce existing statutes rather than create new AI-specific regulations. The memorandum identifies four legal frameworks the Office of the Attorney General may use: civil rights laws, the Connecticut Data Privacy Act, the Connecticut Unfair Trade Practices Act, and the Connecticut Antitrust Act.
Anti-Discrimination Laws Apply to Algorithmic Decisions
Connecticut's civil rights statutes prohibit discrimination in employment, housing, insurance, and lending based on protected characteristics. The memorandum makes clear these laws apply to automated decision-making the same way they apply to traditional business practices.
Federal law also reaches AI-based decision tools. The Equal Credit Opportunity Act, for example, requires adverse action notices when credit decisions rely on algorithmic models.
Privacy and Data Security Requirements
The Connecticut Data Privacy Act grants consumers rights to access, delete, correct, and opt out of certain uses of their personal data. Businesses must also comply with the state's Safeguards Law and Breach Notification Law, which require protection of personal information and reporting of certain data breaches.
Consumer Protection and Competition Laws
The Connecticut Unfair Trade Practices Act and Connecticut Antitrust Act may apply where AI is used in deceptive practices or anticompetitive conduct.
What This Means for Business
The memorandum is neither binding nor precedential, but it signals how the AG will approach AI enforcement. State lawmakers and regulators across the country are actively considering how AI affects consumer finance and commercial decision-making. Connecticut's approach applies existing legal frameworks to AI rather than building a new regulatory structure from scratch.
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