The Use of AI-Generated Deepfakes in NY Mayor-Elect's Campaign: Potential Misinformation
November 5, 2025
This incident underscores the need for responsible AI, particularly in the realm of misinformation prevention. Through JOIN US, learn more about HISPI Project Cerebellum TAIM's efforts in maintaining safe and secure AI and promoting trustworthy AI governance.
- Alleged deployer
- unknown-social-media-account-operators, unknown-disinformation-actors-targeting-zohran-mamdani, unknown-disinformation-actors, citizens-against-mamdani-social-media-accounts, citizens-against-mamdani
- Alleged developer
- unknown-voice-cloning-technology-developers, unknown-deepfake-technology-developers, openai
- Alleged harmed parties
- zohran-mamdani, voters-in-new-york, general-public-of-new-york, epistemic-integrity, electoral-integrity, american-social-media-users
AI governance case studies
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Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/1425
Data source
Incident data is from the AI Incident Database (AIID).
When citing the database as a whole, please use:
McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.
Pre-print on arXiv · Database snapshots & citation guide
We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.