Panigutti, C., Hamon, R., Hupont, I., Fernandez Llorca, D., Fano Yela, D., Junklewitz, H., … & Gomez, E. (2023, June). The role of explainable AI in the context of the AI Act. In Proceedings of the 2023 ACM conference on fairness, accountability, and transparency (pp. 1139-1150).

The report titled “The Role of Explainable AI in the Context of the AI Act” by Panigutti et al. discusses the significance of Explainable AI (XAI) in meeting the transparency and human oversight requirements outlined in the proposed EU AI Act. The paper explores the debate on the necessity of XAI for compliance, arguing that the AI Act does not mandate the use of XAI but emphasizes transparency and documentation to enable users to interpret AI outputs effectively. It also highlights the challenges and limitations of current XAI techniques in achieving these goals.

https://dl.acm.org/doi/pdf/10.1145/3593013.3594069