Description: A senior Indian National Congress leader in Kerala, N. Subrahmanian, was reportedly booked by police after sharing a digitally altered image on Facebook depicting Kerala Chief Minister Pinarayi Vijayan alongside a suspect in a gold theft case. Police reportedly stated that at least one circulated image was created using AI tools and that the post allegedly sought to provoke enmity and mislead the public.
Entities
View all entitiesAlleged: Deepfake technology developers and Image generation technology developers developed an AI system deployed by Unknown actors , N. Subrahmanian and Information manipulation actors, which harmed Pinarayi Vijayan , General public , General public of Kerala , General public of India and Epistemic integrity.
Alleged implicated AI systems: Facebook , Social media platforms , Image generation technology and Deepfake technology
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
4.1. Disinformation, surveillance, and influence at scale
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 Kozhikode City police have registered a case against senior Congress leader and KPCC Political Affairs Committee member N. Subrahmanian for allegedly sharing an AI-generated photograph depicting Chief Minister Pinarayi Vijayan along wit…
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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