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.
Entities
View all entitiesAlleged: Image generator developers and Deepfake technology 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: Deepfake technology and Image generation technology
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
4.3. Fraud, scams, and targeted manipulation
Risk Domain
The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
- Malicious Actors & Misuse
Entity
Which, if any, entity is presented as the main cause of the risk
Human
Timing
The stage in the AI lifecycle at which the risk is presented as occurring
Post-deployment
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Intentional
Incident Reports
Reports Timeline
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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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