Cargando…
Explainable AI: A Neurally-Inspired Decision Stack Framework
European law now requires AI to be explainable in the context of adverse decisions affecting the European Union (EU) citizens. At the same time, we expect increasing instances of AI failure as it operates on imperfect data. This paper puts forward a neurally inspired theoretical framework called “de...
Autores principales: | Khan, Muhammad Salar, Nayebpour, Mehdi, Li, Meng-Hao, El-Amine, Hadi, Koizumi, Naoru, Olds, James L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496620/ https://www.ncbi.nlm.nih.gov/pubmed/36134931 http://dx.doi.org/10.3390/biomimetics7030127 |
Ejemplares similares
-
Decision Theory Meets Explainable AI
por: Främling, Kary
Publicado: (2020) -
Explainable AI as evidence of fair decisions
por: Leben, Derek
Publicado: (2023) -
An Explainable AI-Enabled Framework for Interpreting Pulmonary Diseases from Chest Radiographs
por: Naz, Zubaira, et al.
Publicado: (2023) -
Explainable AI and machine learning: performance evaluation and explainability of classifiers on educational data mining inspired career counseling
por: Guleria, Pratiyush, et al.
Publicado: (2022) -
Identifying kidney trade networks using web scraping data
por: Li, Meng-Hao, et al.
Publicado: (2022)