Some critical and ethical perspectives on the empirical turn of AI interpretability
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DOI: 10.1016/j.techfore.2021.121209
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References listed on IDEAS
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Cited by:
- Jean-Marie John-Mathews & Dominique Cardon & Christine Balagué, 2022. "From Reality to World. A Critical Perspective on AI Fairness," Journal of Business Ethics, Springer, vol. 178(4), pages 945-959, July.
- Suen, Hung-Yue & Hung, Kuo-En, 2024. "Revealing the influence of AI and its interfaces on job candidates' honest and deceptive impression management in asynchronous video interviews," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
- Radu Valentin & Croitoru Ionut Marius & Tabirca Alina Iuliana & Stoica Silviu-Ionel, 2023. "Ai Components For Performance Measurement - A Bibliometric Approach," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 6, pages 286-300, December.
- Chen, Xun-Qi & Ma, Chao-Qun & Ren, Yi-Shuai & Lei, Yu-Tian & Huynh, Ngoc Quang Anh & Narayan, Seema, 2023. "Explainable artificial intelligence in finance: A bibliometric review," Finance Research Letters, Elsevier, vol. 56(C).
- Herrera, Gabriel Paes & Constantino, Michel & Su, Jen-Je & Naranpanawa, Athula, 2023. "The use of ICTs and income distribution in Brazil: A machine learning explanation using SHAP values," Telecommunications Policy, Elsevier, vol. 47(8).
- Behera, Rajat Kumar & Bala, Pradip Kumar & Rana, Nripendra P. & Irani, Zahir, 2023. "Responsible natural language processing: A principlist framework for social benefits," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
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Keywords
Artificial intelligence; Ethics; Interpretability; Experimentation; Self-regulation;All these keywords.
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