A Transparency Index Framework for AI in Education
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Based on transparency index and three tiers, most reviewed study reached at-most Tier 1 (n = 109), merely considered transparent to AI researchers and practitioners.
“Based on the transparency index and the three tiers of transparency (Chaudhry et al., 2022), most of the reviewed study reached at-most Tier 1 (n = 109), which is merely considered transparent to AI researchers and practitioners.”
From Practical and ethical challenges of large language models in education: A systematic scoping review (2024) · cites this paper as Chaudhry et al., 2022
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- Authors
- Chaudhry, M. A., Cukurova, M., & Luckin, R.
- Affiliations
- University College London (GB)
- Corresponding author
- Chaudhry, Muhammad Ali
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2022
- Pages
- 195-198
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W4287964718
- Cited by
- 53
- References
- 9
- Citations by year
- 2026: 15 · 2025: 18 · 2024: 14 · 2023: 5 · 2022: 1
- FWCI
- 9.44
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
- Keywords
- AI transparency, transparency index, artificial intelligence in education, AI ethics, co-design, stakeholder needs, educational technology, AI ethics framework
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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