HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

AI Deepfakes for Voter Outreach Flood Indian Elections

April 1, 2024

During the 2024 Indian elections, deepfakes generated by AI were employed by politicians for voter outreach. These digital clones, created by providers like Divyendra Singh Jadoun of Polymath Synthetic Media Solutions, may mislead voters into believing they are interacting with authentic political figures. This practice, utilized by various political parties, undermines the integrity and authenticity of AI-driven communications. For those interested in promoting safe and secure AI practices and shaping responsible AI governance through the HISPI Project Cerebellum TAIM (Govern), this incident highlights the need for guardrails to prevent harm and maintain trust in AI systems.

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Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

Alleged deployer
bharatiya-janata-party-(bjp), indian-national-congress-(inc), prem-singh-tamang, y.-s.-jagan-mohan-reddy, ram-chandra-choudhary
Alleged developer
divyendra-singh-jadoun, polymath-synthetic-media-solutions, sagar-vishnoi, itoconnect, indiaspeaks-research-lab, sumit-savara
Alleged harmed parties
indian-voters, general-public-misled-by-deepfake-content, political-integrity-and-election-fairness, democracy, truth

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/730

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.