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Luca Nannini, Agathe Balayn, Adam Leon Smith (2023), Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK, In Proceedings of the 6th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2023 p.1198-1212, ACM.

Tim Draws, Karthikeyan Natesan Ramamurthy, Ioana Baldini, Amit Dhurandhar, Inkit Padhi, Benjamin Timmermans, Nava Tintarev (2023), Explainable Cross-Topic Stance Detection for Search Results, In CHIIR 2023 - Proceedings of the 2023 Conference on Human Information Interaction and Retrieval p.221-235, ACM.

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Jurek Leonhardt, Koustav Rudra, Avishek Anand (2023), Extractive Explanations for Interpretable Text Ranking, In ACM Transactions on Information Systems Volume 41.

Agathe Balayn, Natasa Rikalo, Jie Yang, Alessandro Bozzon (2023), Faulty or Ready? Handling Failures in Deep-Learning Computer Vision Models until Deployment: A Study of Practices, Challenges, and Needs, In CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, ACM.

Ran Zhu, Mingkun Yang, Jie Yang, Qing Wang (2023), FedNaWi: Selecting the Befitting Clients for Robust Federated Learning in IoT Applications, In Proceedings of the 2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) p.402-410, IEEE.

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