Explainable AI in industry
Author:
Affiliation:
1. Fiddler Labs
2. LinkedIn
3. Amazon AWS AI
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3351095.3375664
Reference8 articles.
1. Bird S.; Hutchinson B.; Kenthapadi K.; Kiciman E.; and Mitchell M. 2019. Fairness-aware machine learning: Practical challenges and lessons learned. In KDD Tutorial. Bird S.; Hutchinson B.; Kenthapadi K.; Kiciman E.; and Mitchell M. 2019. Fairness-aware machine learning: Practical challenges and lessons learned. In KDD Tutorial.
2. Došilović F. K.; Brčić M.; and Hlupić N. 2018. Explainable artificial intelligence: A survey. In IEEE International convention on information and communication technology electronics and microelectronics (MIPRO). Došilović F. K.; Brčić M.; and Hlupić N. 2018. Explainable artificial intelligence: A survey. In IEEE International convention on information and communication technology electronics and microelectronics (MIPRO).
3. XAI—Explainable artificial intelligence
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2. Demystifying Applications of Explainable Artificial Intelligence (XAI) in e-Commerce;Studies in Computational Intelligence;2024
3. Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities;Knowledge-Based Systems;2023-03
4. A Review of Bias and Fairness in Artificial Intelligence;International Journal of Interactive Multimedia and Artificial Intelligence;2023
5. A Generic Approach to Extend Interpretability of Deep Networks;Progress in Artificial Intelligence;2022
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