Bill Commons

NY A 235

in committee

Relates to unauthorized depictions of public officials generated by artificial intelligence

New York · 2025-2026 Regular Session · lower

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Quick answers

Did NY A 235 pass?

Not yet. NY A 235 is in committee and has not come to a final vote. Latest recorded action (2026-01-07): REFERRED TO CONSUMER AFFAIRS AND PROTECTION

What is NY A 235 about?

Requires the owner, licensee or operator of a visual or audio generative artificial intelligence system to take steps to prohibit its users from creating unauthorized realistic depictions of public officials.

Who sponsors NY A 235?

Clyde Vanel is the primary sponsor of NY A 235.

Description

Requires the owner, licensee or operator of a visual or audio generative artificial intelligence system to take steps to prohibit its users from creating unauthorized realistic depictions of public officials.

Introduced
—
Latest action
2026-01-07 — REFERRED TO CONSUMER AFFAIRS AND PROTECTION
Bill type
bill
Last updated
—

Sponsors

  • Clyde Vanelprimary

Committees

Not provided by source.

Action timeline

Newest first

  1. 2026-01-07

    REFERRED TO CONSUMER AFFAIRS AND PROTECTION

    referral-committee

  2. 2025-01-08

    REFERRED TO CONSUMER AFFAIRS AND PROTECTION

    referral-committee

Versions

Documents

Votes

Not provided by source.

Related bills

  • Prior session: A 10652not in this corpus

Official source

Attribution

Data from openstates_bulk_csv, retrieved 2026-07-24T05:28:30.722574Z

Inspect retained evidence for changes recorded after evidence tracking began:

Session-wide evidence can include changes to other bills:

Use this data

Every field on this page is available from the free public API — no key or licence required. Fetch this bill as JSON: GET /api/v1/bills?jurisdiction=NY&identifier=A 235. See the API docs or the MCP server for AI assistants.

Known limitations

  • Sponsor party and chamber affiliation are not yet captured by this API.
  • Committee referrals are not yet captured.

See the methodology page for data sources and limitations.