Document - AI trustworthiness in prostate cancer imaging: a look at algorithmic and system transparency

2023

Conference article Open Access

AI trustworthiness in prostate cancer imaging: a look at algorithmic and system transparency

Colantonio S., Berti A., Buongiorno R., Del Corso G., Pachetti E., Pascali M. A., Kalantzopoulos C., Kalokyri V., Kondylakis H., Tachos N., Fotiadis D., Giannini V., Mazzetti S., Regge D., Papanikolaou N., Marias K., Tsiknakis M.

Trustworthy AI Traceability Medical Imaging Prostate Cancer

A responsible approach to artificial intelligence and machine learning technologies, grounded in sound scientific foundations, technical robustness, rigorous testing and validation, risk-based continuous monitoring and alignment with human values is imperative to guarantee their favourable impact and prevent any adverse effects they may have on individuals and communities. An essential aspect of responsible development is transparency, which constitutes a fundamental principle of the European approach towards artificial intelligence. Transparency can be achieved at different levels, such as data origin and use, system development, operation and usage. In this paper, we present the techniques implemented and delivered in the EU H2020 ProCAncer-I project to meet the transparency requirements at the different levels required.

Source: IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, Malta, 7-9/12/2023

Publisher: IEEE, New York, USA

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BibTeX entry

@inproceedings{oai:it.cnr:prodotti:490124,
	title = {AI trustworthiness in prostate cancer imaging: a look at algorithmic and system transparency},
	author = {Colantonio S. and Berti A. and Buongiorno R. and Del Corso G. and Pachetti E. and Pascali M. A. and Kalantzopoulos C. and Kalokyri V. and Kondylakis H. and Tachos N. and Fotiadis D. and Giannini V. and Mazzetti S. and Regge D. and Papanikolaou N. and Marias K. and Tsiknakis M.},
	publisher = {IEEE, New York, USA},
	booktitle = {IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, Malta, 7-9/12/2023},
	year = {2023}
}