AI Explainability, Interpretability, Fairness, and Privacy: An Integrative Review of Reviews

Author:

Roundtree Aimee KendallORCID

Publisher

Springer Nature Switzerland

Reference56 articles.

1. Gandhi, M.: What exactly is meant by explainability and interpretability of AI? Medium. https://medium.com/analytics-vidhya/what-exactly-is-meant-by-explainability-and-interpretability-of-ai-bcea30ca1e56. Accessed 15 Feb 2023

2. The Royal Society, Explainable AI: The Basics, https://royalsociety.org/-/media/policy/projects/explainable-ai/AI-and-interpretability-policy-briefing.pdf. Accessed 15 Feb 2023

3. IBM, Explainable AI (XAI). https://www.ibm.com/watson/explainable-ai (2023). Accessed 15 Feb 2023

4. Ceurstemont, S.: Finding the Fairness in AI. Communications of the ACM. https://cacm.acm.org/news/261047-finding-the-fairness-in-ai/fulltext. Accessed 15 Feb 2023

5. Smith, G., Kohli, N., Rustagi, I.: What does “fairness” mean for machine learning systems? Center for Equity, Gender & Leadership (EGAL). Berkeley Haas. https://haas.berkeley.edu/wp-content/uploads/What-is-fairness_-EGAL2.pdf. Accessed 15 Feb 2023

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