Connecticut AI Law SB 5: What Employers Need to Know
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Connecticut AI Law SB 5: What Employers Need to Know

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If you use automated tools anywhere in your hiring or screening process and you have candidates or employees in Connecticut, you now have two deadlines. On October 1, 2026, using an algorithm stops being any kind of defense to a discrimination claim in Connecticut. On October 1, 2027, you will owe candidates detailed written notice before any decision an automated tool meaningfully influences. The first date is weeks away, and the second demands groundwork now, not next summer.

The Connecticut Artificial Intelligence Responsibility and Transparency Act (SB 5), signed by Governor Lamont on May 27, 2026, is one of the most detailed state frameworks yet for AI in employment decisions. Connecticut joins Colorado, Illinois, and New York City in a growing patchwork of AI employment laws, and no two of them work quite the same way. If you haven't already reviewed the five AI hiring laws that could catch your company off guard, now is the time.

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What changes on October 1, 2026

Two obligations arrive first, and both need attention now.

The anti-discrimination amendment is the bigger one for hiring teams. SB 5 amends Connecticut's fair employment laws so that using an automated decision tool is not a defense to a discrimination complaint. If your automated adjudication rules disproportionately screen out candidates from a protected class, your organization is liable; the vendor and the algorithm do not carry that liability for you.

There is a constructive side to the same provision: courts may consider evidence of anti-bias testing and similar proactive efforts when weighing a claim. A documented bias review of your screening rules is now both a defense-building exercise and good practice. Our guide to AI hiring bias and compliance covers how to approach it.

The WARN Act AI disclosure is narrower but real. Employers filing Connecticut WARN notices must now disclose whether the layoffs relate to the employer's use of AI or another technological change. If you own the RIF documentation templates, update them before you need them.


Your compliance checklist

  1. Inventory every automated tool used in hiring and employment decisions: screening platforms, assessments, resume screeners, chatbots, and anything producing scores, rankings, or classifications.
  2. Identify which tools touch Connecticut roles or residents, including remote workers who live in Connecticut.
  3. Classify each tool against the three-part test below. Personal data in, computed output, substantial factor in the decision.
  4. Review your automated adjudication rules for disparate impact before October 1, 2026, and document the review; the law rewards proactive anti-bias testing.
  5. Update WARN notice templates with the AI disclosure language, also by October 1, 2026.
  6. Gather vendor documentation. Developers marketing these tools must give you the information you need to comply; a vendor who can't is a red flag.
  7. Build interactive disclosures into chatbots, assessments, and candidate portals ahead of October 1, 2027.
  8. Draft pre-decision written notices for each covered tool, including the data categories and sources it analyzes.
  9. Keep records of every covered tool, every notice, and every vendor evaluation, and schedule a bias review at least annually.

For Connecticut's wider screening rules, including its existing ban-the-box law and mandatory individualized assessment standard, keep our Connecticut compliance guide alongside this checklist.

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What counts as automated employment decision technology

SB 5 does not regulate every piece of software your team uses. It targets "automated employment-related decision technology," defined by a three-part test. The tool must process personal data; it must use computation to generate an output such as a prediction, score, ranking, classification, or recommendation; and that output must be a substantial factor that makes or materially influences an employment decision, meaning it meaningfully alters the outcome.

Covered decisions include hiring, promotion, discipline, and discharge, along with tenure and the terms, privileges, and conditions of employment. The law carves out everyday software such as word processors, spreadsheets, spam filters, and antivirus tools, along with scheduling and workplace safety monitoring.

Tools that likely qualify include algorithmic resume screeners that rank applicants, video interview platforms that score candidates, online assessments generating fit or risk scores, automated criminal record adjudication systems that classify candidates as eligible or ineligible, and continuous monitoring systems whose alerts lead to employment actions.

The practical test is simple: if HR routinely follows the tool's output without meaningful independent review, the tool is almost certainly a substantial factor. Understanding when an AI hiring score becomes a consumer report adds another layer to this analysis, especially when background data feeds the scoring.


What changes on October 1, 2027: notice and disclosure

The 2027 obligations will change your day-to-day candidate experience, and both need building well before the effective date.

Interactive disclosure

When a candidate or employee interacts directly with a covered tool (chatbot interviews, online assessments, and automated screening questionnaires), you must tell them, in plain language, that they are interacting with automated technology and what it is for. The disclosure happens at the point of interaction; burying it in a terms-of-service page does not count. The one exception: no disclosure is required where the automation would be obvious to a reasonable person.

Pre-decision written notice

Before making an employment decision where a covered tool is a substantial factor, you must give the candidate or employee written notice containing: that the technology is being used; the purpose and nature of the employment decision; the tool's trade name; the categories of personal data it will analyze and how that data will be assessed; the sources of the data; and your contact information. Trade secrets can be withheld, but only if you say that information is being withheld on that basis.

The data categories and sources are where things get detailed for background screening. You will need to name the record types feeding the tool (criminal records, credit data, motor vehicle records, and employment and education verifications) and whether they come from consumer reporting agencies, public records, or internal systems. Vague language won't cut it. SB 5 also requires you to retain records of your use of these tools, and developers must supply the documentation you need to comply.


How SB 5 affects background screening and adjudication

This is where the law lands closest to home for anyone managing screening workflows.

Automated criminal record adjudication is the most obvious trigger. If your system classifies candidates as eligible, ineligible, or review based on offense type and time since conviction, and HR follows those classifications, that is covered technology. The same logic applies to risk scoring tools that combine criminal history, credit data, and MVR records into a composite score, to continuous monitoring alerts that trigger employment actions for Connecticut employees, and to integrated hiring platforms that route, rank, or reject candidates using screening data.

Remember that this layers on top of what Connecticut already requires. The state has a mandatory, statutory individualized assessment standard for conviction records, so an automated "ineligible" flag was never the end of the analysis for a Connecticut candidate; SB 5 adds notice and accountability on top. And your FCRA obligations don't go away either: adverse action notices, disclosure, and authorization all still apply alongside the new rules. The full picture sits in our criminal background checks compliance resources.


Who enforces it, and what happens if you get it wrong

The Connecticut Attorney General has exclusive enforcement authority, and a violation counts as an unfair or deceptive trade practice. There is no private right of action for the notice requirements, and for violations before the end of 2027 the Attorney General may allow 60 days to cure after notice. Discrimination claims are different: those run through Connecticut's existing fair employment machinery, where the October 2026 amendment closes the algorithm defense.

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Frequently asked questions

When does Connecticut's AI hiring law take effect?

In two phases. October 1, 2026 brings the anti-discrimination amendment and the WARN Act AI disclosure. October 1, 2027 brings the interactive disclosure and pre-decision written notice obligations. Preparation for both should start now.

Does SB 5 apply to background checks?

Yes, when automated tools are a substantial factor in decisions about Connecticut candidates or employees. Automated adjudication matrices, risk scoring, and platforms that route or reject candidates on screening data are all potentially covered. The key question is whether HR follows the tool's output without meaningful independent review.

What notices do employers need to give?

From October 1, 2027, two kinds: a plain-language disclosure when someone interacts directly with automated technology, and a pre-decision written notice covering the tool's use, the decision's purpose and nature, the trade name, the data categories and how they are assessed, the data sources, and your contact details.

Can employers use AI as a defense against discrimination claims in Connecticut?

No. From October 1, 2026, using an automated tool is not a defense. Courts may, however, consider your anti-bias testing and similar proactive efforts, which is a strong reason to document them.

How is SB 5 different from New York City's Local Law 144?

SB 5 covers more decision types, applies statewide, requires a more detailed pre-decision notice, and addresses the discrimination defense question directly. Local Law 144 takes a different route, mandating annual bias audits, which SB 5 does not require; instead SB 5 treats anti-bias testing as evidence in your favor.


The first SB 5 deadline lands on October 1, 2026, and the disparate impact review it rewards takes weeks, not days. KRESS can help you map which screening workflows are covered, document the data categories and sources your notices will need, and align the new rules with your existing FCRA and Connecticut obligations, with a named contact rather than a ticket queue. Get a quote or talk to our compliance team before the October date arrives.

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