Proceedings of the 2022 International Conference on Science Education and Art Appreciation (SEAA 2022)

Reasonable Construction and Legal Regulation of Interpretable Mechanism of Educational Artificial Intelligence Algorithms

Authors
Luji Liu1, *, Xietao Cheng2
1College of International Education, Shandong Jiaotong University, Jinan, China
2College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China
*Corresponding author. Email: justiceliu@126.com
Corresponding Author
Luji Liu
Available Online 19 November 2022.
DOI
10.2991/978-2-494069-05-3_30How to use a DOI?
Keywords
The Artificial Intelligence in education; Algorithm; Interpretable mechanism of algorithms
Abstract

The problem of algorithmic “black box” has a negative impact on the deep application of AI in education. The current educational AI still has many problems in data generation and access, algorithm prediction and decision making, and human-computer interaction interface, etc. The establishment of algorithm explainable mechanism is the key to solve the current problems of safety, fairness, and trust of educational AI. Although different stakeholders such as AI developers, users and managers have different concerns about interpretable dimensions, they should reach a consensus on the construction of algorithm interpretable mechanism and follow the basic principles: trustworthiness, fairness, interactivity and causality. The development of science and technology has provided the necessary technical support and tools for the establishment of AI explainable mechanism, and effective algorithm regulation needs technical support and legal system to work in both directions. In the future, it is necessary to establish a legal accountability mechanism with full traceability and further optimize the intellectual property protection system of algorithms.

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 2022 International Conference on Science Education and Art Appreciation (SEAA 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
19 November 2022
ISBN
978-2-494069-05-3
ISSN
2352-5398
DOI
10.2991/978-2-494069-05-3_30How 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  - Luji Liu
AU  - Xietao Cheng
PY  - 2022
DA  - 2022/11/19
TI  - Reasonable Construction and Legal Regulation of Interpretable Mechanism of Educational Artificial Intelligence Algorithms
BT  - Proceedings of the 2022 International Conference on Science Education and Art Appreciation (SEAA 2022)
PB  - Atlantis Press
SP  - 233
EP  - 240
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-494069-05-3_30
DO  - 10.2991/978-2-494069-05-3_30
ID  - Liu2022
ER  -