Incidente 749: translated-es-Hoodline Accused of Misleadingly Attributing AI-Generated Articles to Human Authors
Descripción: translated-es-In 2023, the news site Hoodline is reported to have begun publishing AI-generated articles with fake bylines, headshots, and biographies, allegedly misleading readers into believing they were authored by real journalists. This practice diminishes public trust and exemplifies the potential dangers of AI in journalism. Despite a disclaimer, the use of AI was not transparent.
Entidades
Ver todas las entidadesPresunto: un sistema de IA desarrollado e implementado por Hoodline, perjudicó a Hoodline readers , Journalism y General public.
Estadísticas de incidentes
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
Informes del Incidente
Cronología de Informes
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translated-es-The articles on a local news site popping up around the country appear to cover what any community outlet would focus on: crime, local politics, weather and happenings. "In-depth reporting about your home area," the outlet's s…
Variantes
Una "Variante" es un incidente de IA similar a un caso conocido—tiene los mismos causantes, daños y sistema de IA. En lugar de enumerarlo por separado, lo agrupamos bajo el primer incidente informado. A diferencia de otros incidentes, las variantes no necesitan haber sido informadas fuera de la AIID. Obtenga más información del trabajo de investigación.
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