概要: During Hurricane Helene (September 24-29, 2024), AI-generated images circulated on social media, misleading the public and hindering disaster response efforts. Fake images, including animals stranded on rooftops and political figures in floodwaters, added confusion and disrupted emergency management. The spread of these images exacerbated existing challenges, including power outages and communication failures, all of which led to complications providing accurate information to those in need.
Editor Notes: Motives for the misinformation seemed partisan in nature, while some appeared opportunistic and fraudulent.
Alleged: Unknown deepfake technology developers developed an AI system deployed by Unknown deepfake creators と Partisan social media influencers, which harmed Hurricane Helene victims , General public , Emergency responders と Communities impacted by Hurricane Helene.
インシデントのステータス
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
3.1. False or misleading information
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.
- Misinformation
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