Towards Directive Explanations: Crafting Explainable AI Systems for Actionable Human-AI Interactions
Author:
Affiliation:
1. Computer Science, KU Leuven, Belgium
Funder
KU Leuven Internal Funds
Research Foundation?Flanders (FWO)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3613905.3638177
Reference53 articles.
1. Trends and Trajectories for Explainable, Accountable and Intelligible Systems
2. Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
3. Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
4. Power to the People: The Role of Humans in Interactive Machine Learning
5. Data-Centric Explanations: Explaining Training Data of Machine Learning Systems to Promote Transparency
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