journal article · 2024 · Featured

Explainable artificial intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions

Luca Longo , Mario Brcic , Federico Cabitza , Jaesik Choi , Roberto Confalonieri , Javier Del Ser , Riccardo Guidotti , Yoichi Hayashi , Francisco Herrera , Andreas Holzinger , Richard Jiang , Hassan Khosravi , Freddy Lecue , Gianclaudio Malgieri , Andrés Páez , Wojciech Samek , Johannes Schneider , Timo Speith , Simone Stumpf

Information Fusion, vol. 106

DOI: 10.1016/j.inffus.2024.102301

Notes

A manifesto identifying the open challenges and interdisciplinary research directions for the next generation of explainable artificial intelligence (XAI 2.0). This work synthesizes contributions from researchers across machine learning, human-computer interaction, philosophy, law, and cognitive science to chart a research agenda for the field.

How to cite

@article{brcic2024longo,
  author = {Luca Longo and Mario Brcic and Federico Cabitza and Jaesik Choi and Roberto Confalonieri and Javier Del Ser and Riccardo Guidotti and Yoichi Hayashi and Francisco Herrera and Andreas Holzinger and Richard Jiang and Hassan Khosravi and Freddy Lecue and Gianclaudio Malgieri and Andrés Páez and Wojciech Samek and Johannes Schneider and Timo Speith and Simone Stumpf},
  title = {Explainable artificial intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions},
  journal = {Information Fusion, vol. 106},
  year = {2024},
  doi = {10.1016/j.inffus.2024.102301},
  url = {https://www.sciencedirect.com/science/article/pii/S1566253524000794},
}

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