The current research places itself in the wider debate across the scientific community about the role of designers in the interaction with generative AI. Specifically, its purpose is to investigate how designers and researchers in design deal with bias detection in generative AI outputs. The objective of the research is to reflect upon the theme of personal exposure as a bottom-up strategy to deal with distortions in reality representation through AI. To do so, the contribution first introduces the definition of bias in generative AI and the opportunities as well as limits of debiasing strategies. It continues by presenting an exemplary case study by outlining an overview of ageism in AI, while the central part of the paper addresses this problematic issue by describing and discussing a preliminary research in the field conducted in May, 2024.
A design perspective for bias detection in generative AI: addressing ageism through personal exposure
Leggiero, Isabel
;Teverini, Giulia
2024
Abstract
The current research places itself in the wider debate across the scientific community about the role of designers in the interaction with generative AI. Specifically, its purpose is to investigate how designers and researchers in design deal with bias detection in generative AI outputs. The objective of the research is to reflect upon the theme of personal exposure as a bottom-up strategy to deal with distortions in reality representation through AI. To do so, the contribution first introduces the definition of bias in generative AI and the opportunities as well as limits of debiasing strategies. It continues by presenting an exemplary case study by outlining an overview of ageism in AI, while the central part of the paper addresses this problematic issue by describing and discussing a preliminary research in the field conducted in May, 2024.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
