Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Let's speculate on generative AI's stories about people with disabilities and chronic conditions.
0
Zitationen
3
Autoren
2025
Jahr
Abstract
Biases in Generative Artificial Intelligence (GenAI) have been well-recorded since before the explosion of publicly available GenAI services. The biases explored in the literature mainly relate to gender, race, and, recently, to disability. The reasons for the existence of these biases are several, as well as the suggestions in the literature on how they can be mitigated. In this workshop, we will share how we (participants and facilitators) deal with AI biases related to people with disabilities and chronic conditions, and we will speculate how our actions or inactions can impact the future of people with disabilities. The workshop is a part of a series of workshops where we invite people to work with us on matters of AI and disabilities, and chronic conditions. This workshop aims to produce material for the synthesis of a manuscript that will present future alternatives of how GenAI could impact people with disabilities and chronic conditions.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.292 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.143 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.539 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.452 Zit.