Skip to content

Session Expired

Your session has expired. Please sign in again to continue where you left off.

Sign In Again

MD HB1399: Consumer Protection - Consumer Reporting Agencies - Use of Algorithmic Systems

Dead/Failed Maryland · 2026 session

Last verified Oct 10, 2026 · official bill text

HB1399 · where it stands

This bill did not become law (dead/failed) · last action Feb 17, 2026.

What do these statuses mean?
Introduced
Filed in the legislature; may be waiting for a committee hearing.
Passed a chamber
Approved by one or both chambers; awaiting further action.
Enacted
Signed into law, or became law without a signature or over a veto.
Effective date
The date the law says it takes effect. Once it has passed, the page shows "Effective" and the date. A court order can still block a law; if we know of one, the summary says so.
Dead / vetoed
Vetoed, failed, or the session ended without action.

In one paragraph

Maryland's HB 1399 (2026, first reader text) would have added Commercial Law section 14-1228 requiring consumer reporting agencies that use algorithmic systems to assemble or evaluate consumer information to explain evaluations in plain language, keep a public registry of algorithms, meet error-rate targets, get quarterly independent bias audits, have humans review automated evaluations within 24 hours, and notify consumers when AI is used. It had a House Economic Matters hearing set for March 10, 2026 and died when the 2026 session ended.

Plain-English summary, written with AI assistance. The official text controls.

What it means for business

None: the bill died and did not become law. It would have set audit, accuracy, human-review and disclosure duties for consumer reporting agencies using algorithms.

Key provisions

  1. Would have added Commercial Law section 14-1228, applying to consumer reporting agencies that use algorithmic systems; effective October 1, 2026
  2. Plain-language explanation of each algorithmic evaluation and a public registry of algorithms (purpose, data sources, general methodology)
  3. Overall algorithmic error rate below 0.5% compared with human review, discriminatory data rates below 0.1% for protected characteristics, and data input accuracy of at least 99.9%
  4. Quarterly harmful-bias audits by an independent third party, submitted to the Commissioner within 30 days of completion, plus annual summary reports
  5. Human review of automated evaluations within 24 hours (expedited review within 48 hours on request) before a decision is final, and random human review of at least 10% of algorithmic evaluations
  6. Consumers who opt out of automated decision-making to be offered nonalgorithmic assessment; notice that AI is used, and AI outputs including synthetic audio, image, video or text to be detectable as artificially generated
  7. Commissioner of Financial Regulation to set annual assessment thresholds, mandate reviewer training and implement a whistleblower protection program, and may adopt regulations
  8. The new section adds no penalty or enforcement provision of its own

Latest legislative action

Feb 17, 2026. Hearing 3/10 at 1:00 p.m.; died when the Maryland General Assembly's 2026 session ended April 13, 2026

Sponsors (showing 5 of 50)

NameRole
Primary
Primary
Primary
Primary
Primary

Related and companion bills

Topics and industries

Affected industries

This page is general information, not legal advice. Summaries are AI-assisted and may contain errors; read the statute for the controlling text and talk to a lawyer about your situation. Full disclaimer · Report an error