Towards a Framework for Interdisciplinary Studies in Explainable Artificial Intelligence

Author:

Ziethmann PaulaORCID,Stieler FabianORCID,Pfrommer Raphael,Schlögl-Flierl KerstinORCID,Bauer BernhardORCID

Publisher

Springer Nature Switzerland

Reference44 articles.

1. AI Act - Shaping Europe’s digital future. https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai

2. Proposal for a Regulation of the European parliament and of the council laying down harmonised rules on artificial intelligence (artificial intelligence act) and amending certain union legislative acts. https://artificialintelligenceact.eu/wp-content/uploads/2024/01/AI-Act-FullText.pdf

3. Adadi, A., Berrada, M.: Peeking inside the black-box: a survey on Explainable Artificial Intelligence (XAI). IEEE Access 6, 52138–52160 (2018). https://doi.org/10.1109/ACCESS.2018.2870052

4. Arrieta, A.B., et al.: Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI (2019). arXiv:1910.10045

5. Arya, V., et al.: One explanation does not fit all: a toolkit and taxonomy of AI Explainability Techniques (2019). arXiv:1909.03012

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