POLISCOPE
Back to bills

The civic record

Read. Follow. Verify.
High Impact

California SB 503 requires AI developers and healthcare providers to identify and mitigate bias in clinical decision-making tools

Original title: Health care services: artificial intelligence.

Record date · August 30, 2026

Introduced
Committee
Floor Vote
Passed
Law

Track this bill to get notified when it advances a stage. One tap to stop, anytime.

What This Bill Would Do

SB 503 mandates that developers and users of AI-driven s identify and reduce the risk of biased impacts in medical diagnosis and treatment recommendations. The bill requires developers to provide documentation on intended uses and risks, while healthcare providers must regularly monitor these systems for bias.

Why it matters

This bill establishes new accountability standards for AI tools used in medical settings, directly impacting how healthcare providers and patients interact with automated systems that influence diagnosis and treatment decisions.

Who It Would Affect

Groups the bill's text would affect if enacted, as described in the record. Being affected is not a position for or against it.

Directly affected

AI developers

They must create documentation on system risks and make efforts to mitigate biased impacts in their software.

Directly affected

Healthcare providers

They must regularly monitor AI systems used in their practice and take steps to mitigate any identified risks of bias.

Directly affected

Patients

They are the subjects of the clinical decisions influenced by the AI systems regulated under this bill.

Key Facts

You don't have to trust us. Each fact below is taken straight from the official document - click any one to see the exact passage, highlighted in the original.

Frequently Asked Questions

What is a 'clinical decision support system' under this bill?
It is an artificial intelligence system that produces a prediction, classification, recommendation, evaluation, or analysis to help with medical diagnosis or treatment.
Who is responsible for checking AI systems for bias?
Both the developers who create the AI and the s (such as clinics or hospitals) who use the AI in their health programs are responsible for identifying and mitigating bias.

What else do you want to know?

News Coverage

Coverage by outlet perspective1 article
Unrated 1
Blind spot - only covered by center outlets

Bias ratings based on AllSides / Media Bias/Fact Check

Where This Stands

Currently filed. The next step in the legislative lifecycle is Committee.

Version history & redline

8 versions on file

Official version history is partial: 8 linked texts are unavailable or incomplete. Source links remain available below.

Comparing 07/17/25 - Amended Assembly → 09/04/25 - Amended Assembly
removed addedOfficial text

The text diff for this stage has not been computed yet.

OpenStates mirror retained for redline only; official linked text was unavailable

Redline computed from the official version text (record lane).View this version →

Lobbying Activity

No state lobbying filings in our records match this bill. Federal lobbying reports (LDA) cover Congress, so they are not listed on state bills.

Full breakdown

Who this bill affects and the strongest case for and against it, written only from the bill’s own text.

Discoveries

1 pattern noticed across the record

Patterns POLISCOPE noticed across the record. These are observations to investigate, not conclusions.

policy shift90% confidence

Expansion of AI Oversight

The bill shifts the regulatory focus from merely requiring disclaimers on AI-generated communications to requiring active bias mitigation in clinical decision-making tools.

Connected Entities

Clinical decision support system, Clinical Decision Support System
otherClinical decision support system“AI systems that produce predictions, classifications, or recommendations aiding ”Map →
otherClinical Decision Support System“AI systems that produce predictions, classifications, or recommendations for dia”Map →

Sources

Open source document

openstates.org

Analysis Score

0–100
  • Significance80
    How much this matters to a regular citizen
  • Controversy40
    Intensity of disagreement among stakeholders
  • Entertainment10
    Compellingness for a non-policy-wonk reader
  • Buzz30
    Current news / social attention level

Publisher tools

Share or embed this record

POLISCOPE publisher tools

Share or embed this record