Descripción del proyecto
Enfocar mejor para repensar las imágenes sobre la salud mundial
Las imágenes sobre la salud mundial contienen a menudo estereotipos sesgados, que refuerzan las visiones perjudiciales de la época colonial. Estos estereotipos son aprendidos y perpetuados por la IA, lo que agrava los prejuicios sociales. Apoyado por las Acciones Marie Skłodowska-Curie (MSCA), el equipo del proyecto AIrbrush utilizará IA avanzada para generar y evaluar imágenes con el fin de promover una representación justa en las imágenes de salud mundial. En concreto, en el proyecto se profundiza en la generación intencionada y la evaluación sensible al valor de las imágenes generadas por IA. Este método tiene el objetivo de descolonizar la salud mundial y su cultura visual analizando, evaluando y teorizando la reproducción de imágenes sesgadas creadas con IA. Las conclusiones del proyecto servirán de base para artículos académicos, seminarios web, colaboraciones con el grupo de investigación sobre Inteligencia Artificial y Ética de la OMS y exposiciones de arte, lo que cataliza el cambio en todos los sectores.
Objetivo
This project engages with the proliferation of abusive and biased stereotypes from colonial and humanitarian photography through generative AI technology, and investigates their consequences for science and society. This is a pressing issue: AI simultaneously absorbs and learns from real images, which, in the case of global health, have been marked by racism, coloniality and sexism, meaning that given images become a cluster for generative AI to learn from biased depictions and perpetuate negative stereotypes. Such cycles have to be studied and eliminated in order to move toward more equal postcolonial societies and promote a culture of value-sensitive depictions of vulnerable people. The project builds and greatly expands on the emerging methodology of purposeful generation and value-sensitive evaluation of AI-generated Global Health visuals, recently pioneered by Prof. Koen Peeters (the supervisor) and Dr. Alenichev, and encapsulated in a Lancet Global Health Article in August 2023. Offering a first-ever systematic study of AI-generated Global Heath visuals, AIrbrush sets five core objectives and asks: How should the international community account for generative AI as part of the internationally set goal of decolonizing Global Health and its visual culture, and tackle biased depictions of race, class, gender, and other socially enacted markers of similarity and difference? AIrbrush answers this question by analysing the substrate of the real global health images AI learns from, evaluates the learning progress and the reproduction and modification of such tropes by AI, theorizes this relationship and outlines societal outcomes with regard to the future of respectful depictions in the AI era. The findings from this study will be encapsulated as academic articles, a thematic webinar, a collaboration with the WHO AI and Ethics research group, and an art exhibition at ITM (the host) and in other places, among other outputs.
Ámbito científico
Palabras clave
Programa(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Régimen de financiación
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European FellowshipsCoordinador
2000 ANTWERPEN
Bélgica