Descripción: Polish radio station Off Radio Krakow replaced human presenters with AI-generated ones and aired a simulated interview with the deceased poet Wisława Szymborska. The AI-driven experiment aimed to attract younger listeners but led to job losses for former hosts. In response to the public backlash, the station ended its use of AI presenters.
Editor Notes: Michal Rusinek, who operates the foundation that runs Wisława Szymborska's estate, reportedly gave permission for her voice to be used, but he later expressed disappointment with the outcome, describing the AI-generated interview as “horrible” and saying it made Szymborska sound "bland" and "naïve." Rusinek noted that, while Szymborska herself might have found humor in the experiment, the interview misrepresented her tone and personality. Regardless of Rusinek's role and response, Incident 833 still raises thorny problems about the ethical dimensions of using AI to recreate the voices of deceased individuals, along with all the potential and actual harms that result from eroding transparency and truth in media platforms. See also Incident 627: Unauthorized AI Impersonation of George Carlin Used in Comedy Special.
Entidades
Ver todas las entidadesAlleged: OpenAI , ElevenLabs y Leonardo AI developed an AI system deployed by Off Radio Krakow y Mariusz Marcin Pulit, which harmed Lukasz Zaleski , Mateusz Demski , Wisława Szymborska , Off Radio Krakow audience y Off Radio Krakow employees.
Estadísticas de incidentes
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
6.2. Increased inequality and decline in employment quality
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.
- Socioeconomic & Environmental Harms
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
VARSOVIA, Polonia -- Una estación de radio polaca dijo el lunes que había puesto fin a un "experimento" que implicaba el uso de "presentadores" generados por inteligencia artificial en lugar de periodistas reales, después de que la medida p…
Cuando una estación de radio polaca financiada por el Estado canceló un programa semanal que incluía entrevistas a directores de teatro y escritores, el presentador del programa se fue en silencio, resignado a las realidades de la industria…
Variantes
Una "Variante" es un incidente que comparte los mismos factores causales, produce daños similares e involucra los mismos sistemas inteligentes que un incidente de IA conocido. En lugar de indexar las variantes como incidentes completamente separados, enumeramos las variaciones de los incidentes bajo el primer incidente similar enviado a la base de datos. A diferencia de otros tipos de envío a la base de datos de incidentes, no se requiere que las variantes tengan informes como evidencia externa a la base de datos de incidentes. Obtenga más información del trabajo de investigación.
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