A critical survey on fairness benefits of XAI
In this critical survey, we analyze typical claims on the relationship between explainable AI
(XAI) and fairness to disentangle the multidimensional relationship between these two …
(XAI) and fairness to disentangle the multidimensional relationship between these two …
Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects
Although artificial intelligence (AI) methods hold promise for medical imaging-based
prediction tasks, their integration into medical practice may present a double-edged sword …
prediction tasks, their integration into medical practice may present a double-edged sword …
How validation methodology influences human activity recognition mobile systems
In this article, we introduce explainable methods to understand how Human Activity
Recognition (HAR) mobile systems perform based on the chosen validation strategies. Our …
Recognition (HAR) mobile systems perform based on the chosen validation strategies. Our …
[PDF][PDF] Fairness Auditing, Explanation and Debiasing in Linguistic Data and Language Models.
MM Manerba - xAI (Late-breaking Work, Demos, Doctoral Consortium), 2023 - ceur-ws.org
This research proposal is framed in the interdisciplinary exploration of the socio-cultural
implications that AI exerts on individual and groups. The focus concerns contexts where …
implications that AI exerts on individual and groups. The focus concerns contexts where …
Towards Explainable AI: Predicting Linear and Nonlinear Feature Relations of Datasets
NC Patel - 2023 - repository.fit.edu
Artificial Intelligence (AI) makes critical decisions in an opaque way without explaining the
reasoning behind them. Decision support systems are often built as black boxes. This has …
reasoning behind them. Decision support systems are often built as black boxes. This has …