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Authors: Ioannis Papantonis and Vaishak Belle

Affiliation: University of Edinburgh, U.K.

Keyword(s): Explainable AI.

Abstract: Artificial intelligence (AI) and especially machine learning (ML) has been increasingly incorporated into a wide range of critical applications, such as healthcare, justice, credit risk assessment, and loan approval. In this paper, we survey the motivations for caring about model transparency, especially as AI systems are becoming increasingly complex leviathans with many moving parts. We then briefly outline the challenges in providing computational solutions to transparency.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Papantonis, I. and Belle, V. (2023). Model Transparency: Why Do We Care?. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-623-1; ISSN 2184-433X, SciTePress, pages 650-657. DOI: 10.5220/0011726300003393

@conference{icaart23,
author={Ioannis Papantonis. and Vaishak Belle.},
title={Model Transparency: Why Do We Care?},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2023},
pages={650-657},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011726300003393},
isbn={978-989-758-623-1},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Model Transparency: Why Do We Care?
SN - 978-989-758-623-1
IS - 2184-433X
AU - Papantonis, I.
AU - Belle, V.
PY - 2023
SP - 650
EP - 657
DO - 10.5220/0011726300003393
PB - SciTePress