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A Transparency Index Framework for AI in Education

Chaudhry, Muhammad Ali; Cukurova, Mutlu; Luckin, Rose; (2022) A Transparency Index Framework for AI in Education. ArXiv: Ithaca, NY, USA. Green open access

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Abstract

Numerous AI ethics checklists and frameworks have been proposed focusing on different dimensions of ethical AI such as fairness, explainability, and safety. Yet, no such work has been done on developing transparent AI systems for real-world educational scenarios. This paper presents a Transparency Index framework that has been iteratively co-designed with different stakeholders of AI in education, including educators, ed-tech experts, and AI practitioners. We map the requirements of transparency for different categories of stakeholders of AI in education and demonstrate that transparency considerations are embedded in the entire AI development process from the data collection stage until the AI system is deployed in the real world and iteratively improved. We also demonstrate how transparency enables the implementation of other ethical AI dimensions in Education like interpretability, accountability, and safety. In conclusion, we discuss the directions for future research in this newly emerging field. The main contribution of this study is that it highlights the importance of transparency in developing AI-powered educational technologies and proposes an index framework for its conceptualization for AI in education.

Type: Working / discussion paper
Title: A Transparency Index Framework for AI in Education
Open access status: An open access version is available from UCL Discovery
DOI: 10.48550/arXiv.2206.03220
Publisher version: https://doi.org/10.48550/arXiv.2206.03220
Language: English
Additional information: This is an Open Access paper published under a Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) Licence (https://creativecommons.org/licenses/by-sa/4.0/).
Keywords: AI in Education, Transparency in AI, Algorithmic Transparency, AI Development Pipelines, Bias in AI
UCL classification: UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Culture, Communication and Media
UCL > Provost and Vice Provost Offices > School of Education
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10150469
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