Most reviews reporting neurophysiological AI use stressed the need for further ethical considerations, including participant consent and transparent development¶

Claim · All claims
Evidence · 1 study · review r3 · q2
Currency · newest study 2024 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · not reviewed by a person · recheck by 2029: baselines and conditions change

Subclaims¶

q2 i? 66% (n = 6) of reviews reporting neurophysiological AI use stressed the need for further ethical considerations, including obtaining participant consent and clearer reporting of study design. → Bond 2024

Evidence¶

Bond 2024¶

Bond, M., Khosravi, H., De Laat, M., Bergdahl, N., Negrea, V., Oxley, E., Pham, P., Chong, S. W. & Siemens, G. (2024). A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-023-00436-z

q2 · i? · review · r3

Synthesis of the nine AIHEd reviews covering facial recognition/mood detection and neurophysiological AI. The article reports the cited proportion and the ethical concerns named, attributing them to the reviews it cites. No effect sizes are printed.

"66% (n = 6) of the reviews reporting the use of neurophysiological AI, stressed the need for further ethical considerations when undertaking such research in the future, including obtaining participant consent (Salas-Pilco & Yang, 2022), more transparent development of AI and clearer reporting of study design (Kirubarajan et al., 2022)."

Discussion¶

Related Claims¶

• AIHEd evidence synthesis is dominated by systematic reviews conducted in mostly domestic-only teams, with 66 higher-education reviews included in the corpus — a broader claim this one bears on
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