Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Reference44 articles.
1. Shin D (2021) The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI. Int J Hum Comput Stud 146:102551
2. Buczynski W, Cuzzolin F, Sahakian BJ (2021) A review of machine learning experiments in equity investment decision-making: why most published research findings do not live up to their promise in real life. Int J Data Sci Anal 2021:1–22
3. Rudin C (2018) Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead. Nat Mach Intell 1:206–215
4. Akula R, Garibay II (2021) Audit and assurance of AI algorithms: a framework to ensure ethical algorithmic practices in artificial intelligence. ArXiv: abs/2107.14046
5. Lapuschkin S, Wäldchen S, Binder A, Montavon G, Samek W, Müller K (2019) Unmasking clever Hans predictors and assessing what machines really learn. Nat Commun 10
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献