The Opaque Nature of Intelligence and the Pursuit of Explainable AI

Sarah Thomson, Niki van Stein, Daan van den Berg

2023

Abstract

When artificial intelligence is used for making decisions, people are more likely to accept those decisions if they can be made intelligible to the public. This understanding has led to the emerging field of explainable artificial intelligence. We review how research on explainable artificial intelligence is being conducted and discuss the limitations of current approaches. In addition to technical limitations, there is the huge problem that human decision-making is not entirely transparent either. We conclude with our position that the opacity of intelligent decision-making may be intrinsic, and with the larger question of whether we really need explanations for trusting inherently complex and large intelligent systems — artificial or otherwise.

Paper Citation

in Harvard Style

Thomson S., van Stein N. and van den Berg D. (2023). The Opaque Nature of Intelligence and the Pursuit of Explainable AI. In Proceedings of the 15th International Joint Conference on Computational Intelligence - Volume 1: NCTA; ISBN 978-989-758-674-3, SciTePress, pages 555-564. DOI: 10.5220/0012249500003595

in Bibtex Style

@conference{ncta23,
author={Sarah Thomson and Niki van Stein and Daan van den Berg},
title={The Opaque Nature of Intelligence and the Pursuit of Explainable AI},
booktitle={Proceedings of the 15th International Joint Conference on Computational Intelligence - Volume 1: NCTA},
year={2023},
pages={555-564},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012249500003595},
isbn={978-989-758-674-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computational Intelligence - Volume 1: NCTA
TI - The Opaque Nature of Intelligence and the Pursuit of Explainable AI
SN - 978-989-758-674-3
AU - Thomson S.
AU - van Stein N.
AU - van den Berg D.
PY - 2023
SP - 555
EP - 564
DO - 10.5220/0012249500003595
PB - SciTePress