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