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AI-Assisted Transcription of Mayoral Remarks

What it is for

Inform
  • Produces first-draft transcripts of the Mayor's remarks and press conferences to support accurate public information dissemination.
Run by
Mayor's Office
Where
No fixed location
Kept
Not stated by the NYC Office of Technology and Innovation.
Shared with
Accountable organization

What it is for

Inform

GoTranscript uses AI to convert audio and video recordings of the Mayor's remarks and press conferences into a first-draft text transcript. The Mayor's Office research team then reviews, corrects errors, and formats the draft before it is published as a public transcript. The AI output is never published directly — a human editor reviews every draft before release.

What it collects and what happens to it

Data taken in

About a measurement
Anonymized data
  • Audio recordings of the Mayor's remarks and press conferences, submitted by the Mayor's research team to GoTranscript for transcription.

Processing

Speech & Audio
  • GoTranscript applies speech-to-text AI to convert spoken mayoral remarks into a draft text transcript, ready for human review and correction.

What it does

Sensing (Perceptive AI)
Human decides
  • The system converts raw audio recordings of mayoral remarks into structured text. A human research team then reviews and corrects the output before any publication.

Outputs

Generated content
Anonymized data
  • A first-draft text transcript of the Mayor's audio or video remarks, generated by the AI and submitted to the research team for correction and formatting before public release.

Run by

Mayor's Office
  • The Mayor's Office, through the Deputy Mayor for Communications, deploys GoTranscript to produce first-draft transcripts of mayoral remarks and press conferences for public release.

NYC AI Use Cases Register — GoTranscript

Built by

GoTranscript
  • GoTranscript is the commercial vendor providing AI-powered audio and video transcription services to the Mayor's Office under a paid procurement arrangement.

NYC AI Use Cases Register — GoTranscript

Kept for

Not stated by the NYC Office of Technology and Innovation.

Shared with

Available to the accountable organization
  • Draft transcripts are returned to the Mayor's Office research team for review, correction, and formatting. The final corrected transcript is published publicly.

Stored

Not stated by the NYC Office of Technology and Innovation.

How to read the colours

Can it identify you?

Anonymized data
Data about people with the link to who is broken. Stripped of identifiers, blurred, aggregated, or noised so this system can’t reasonably tie a record back to an individual.
Pseudonymous data
Each person’s data is tied to a token (hash, ID, template) that lets this system recognise the same person across events, but the token itself doesn’t reveal a name. Reidentification is possible with extra information.
Identifiable data
The data either contains a direct identifier (name, address, account name, recognisable face or voice, plate number) or carries a token this system uses to look up legal identity during processing.

Who completes the loop?

Human decides
This mode suggests; a person decides what to do next. The AI is always advisory — a human is in the loop on every decision. Example: a triage tool ranks cases for a clinician who chooses which to see first.
Human executes
This mode decides; a person carries out the result. Example: an optimizer plans the day’s trash-collection routes, and drivers run them.
Autonomous
This mode decides and acts on its own. No person reviews each decision or carries out the resulting action.

Definitions from the DTPR standard. Amber is about your data, violet about who decides. The fuller the shape and the deeper the colour, the more identifying the data or the less a person is involved.

What you can do

Ask about this system

Questions go to the NYC Office of Technology and Innovation, not the vendor.

Your rights

  • Right to Be Informed of AI UseMembers of the public should be aware that AI transcription tools are used to produce first-draft transcripts of the Mayor's public remarks before human review and publication. This disclosure is provided through the NYC AI use-case register.
  • Right to Algorithmic TransparencyThe NYC AI register discloses that GoTranscript uses AI speech-to-text processing on mayoral audio recordings to generate draft transcripts. Training data is proprietary to the vendor and not publicly disclosed.

Risks and safeguards

  • Reputational harmAI transcription errors (e.g., misheard words, garbled proper nouns) could misrepresent the Mayor's remarks if published uncorrected.Safeguard: the research team performs a second and third read, correcting errors and formatting before any public release. The AI draft is never published directly.