Proceedings of the 2023 9th International Conference on Humanities and Social Science Research (ICHSSR 2023)

More Trust in Automated Decision-Making Algorithm

A Similar Approach as Judicial Decisions

Authors
Yunjie Liang1, *
1Faculty of Law, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
*Corresponding author. Email: y.liang3@student.vu.nl
Corresponding Author
Yunjie Liang
Available Online 9 September 2023.
DOI
10.2991/978-2-38476-092-3_173How to use a DOI?
Keywords
Automated Decision-making Algorithm; Judicial Decisions; Transparency; Trust in Algorithm
Abstract

Due to technical difficulties and trade secrets, the automated decision algorithm can never achieve complete transparency and credibility. This issue of transparency and trust can only be improved, not entirely resolved. People’s trust in the automated decision process mainly comes from the understanding and openness of the algorithm logic. This study believes that the logic of the automated decision algorithm can be compared with that of judicial adjudication and improved accordingly. Since both have an important impact on people’s interest, the trust in judicial decisions is far higher than that in automated decision algorithms. Therefore, the automated decision algorithm can take a similar way to gain more trust.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 9th International Conference on Humanities and Social Science Research (ICHSSR 2023)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
9 September 2023
ISBN
978-2-38476-092-3
ISSN
2352-5398
DOI
10.2991/978-2-38476-092-3_173How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Yunjie Liang
PY  - 2023
DA  - 2023/09/09
TI  - More Trust in Automated Decision-Making Algorithm
BT  - Proceedings of the 2023 9th International Conference on Humanities and Social Science Research (ICHSSR 2023)
PB  - Atlantis Press
SP  - 1356
EP  - 1361
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-092-3_173
DO  - 10.2991/978-2-38476-092-3_173
ID  - Liang2023
ER  -