HB 1399 — Consumer Protection - Consumer Reporting Agencies - Use of Algorithmic Systems
MD 2026RS session · introduced 2026-02-13
Establishing requirements for consumer reporting agencies that use algorithmic systems to assemble or evaluate consumer credit information on consumers for the purpose of furnishing consumer reports to third parties; and requiring the Commissioner of Financial Regulation of the Maryland Department of Labor to establish certain assessment thresholds for algorithms, mandate regular training for human reviewers, and implement a certain whistleblower protection program.
Latest action: — In the House - Hearing 3/10 at 1:00 p.m.
Sponsors (1)
- Terri L. Hill (D, MD-12) — sponsor · 2026-02-13
Action timeline (2)
- · house — First Reading
- · house — Hearing — Economic Matters
Text versions (0)
No text versions on file yet — same ingest as the action timeline populates these. Each version has direct links to the XML / HTML / PDF at govinfo.gov.
Bill text (extracted)
Amendments
Congressional Research Service briefs (0)
CRS reports that cite this bill in their relatedMaterials — what Congress was reading on the topic. Click any report for its summary, formats, and bill-citation walk.
No CRS reports cite this bill yet.
Connected on the graph
1 typed relationship in the influence graph — 0 inbound, 1 outbound, grouped by type.
referred to committee (1)
| date | dir | entity | amount | role | source |
|---|---|---|---|---|---|
| — | → | House economic matters | — | md-leg |
Who matters on this bill
Who matters
Members ranked by combined influence on this bill: role (sponsor 5 / cosponsor 1), capped speech count from the Congressional Record, and recorded-vote engagement.
| # | Member | Role | Speeches | Voted | Score |
|---|---|---|---|---|---|
| 1 | Terri L. Hill (D, state_lower MD-12) | sponsor | 0 | — | 5 |
Stance (positions taken)
Predicted vote
Aggregated from: actual roll-call votes (when present) → sponsor → cosponsor → party median (predicts YES when ≥25% of the caucus sponsored/cosponsored). Each row labels its confidence tier so you can see why a position was predicted.
0 predicted yes (0%) · 543 predicted no (100%) · 0 unknown (0%)
By party: · R: 0 yes / 277 no · D: 0 yes / 263 no · I: 0 yes / 3 no
Timeline
Every typed-graph event involving this entity, newest first. Each row is one edge in the influence graph; the inline strip under the row shows the counterpart's own context (a bill's latest action, a hearing's chamber + date, a filing's form type + filed date, a clip's source + excerpt) so the timeline reads like a Wikipedia citation rail.
- 2026-05-24 · was referred to House economic matters · md-leg