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Incident 1323: Madhya Pradesh Congress Alleges AI-Generated Images Were Submitted in National Water Award Process

Description: A political dispute reportedly emerged in India after the Madhya Pradesh Congress alleged that AI-generated images were uploaded to a government platform in connection with water conservation works linked to the National Water Awards. District officials reportedly denied that the images influenced the award process, stating that evaluations relied on verified data and field inspections and that a limited number of AI-generated images appeared only on a separate educational portal.

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Alleged: Unknown deepfake technology developers and Unknown image generator developers developed an AI system deployed by Khandwa District Administration (Madhya Pradesh, India), which harmed General public , General public of India , General public of Madhya Pradesh , General public of Khandwa District (Madhya Pradesh) and Epistemic integrity.
Alleged implicated AI systems: Unknown deepfake technology and Unknown image generators

Incident Stats

Incident ID
1323
Report Count
1
Incident Date
2025-12-28
Editors
Daniel Atherton

Incident Reports

Reports Timeline

Incident Occurrence‘Smart corruption’: Congress claims AI images used to bag national water award; MP administration rejects charge
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‘Smart corruption’: Congress claims AI images used to bag national water award; MP administration rejects charge

‘Smart corruption’: Congress claims AI images used to bag national water award; MP administration rejects charge

hindustantimes.com

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‘Smart corruption’: Congress claims AI images used to bag national water award; MP administration rejects charge
hindustantimes.com · 2025

The Congress on Monday accused the Madhya Pradesh government of corruption, alleging that the Khandwa district administration secured a national water conservation award by submitting AI-generated images, a charge denied by the district's o…

Variants

A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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