Perceived Risks and Benefits of Disclosing ADHD to AI-based Educational Technologies: Semi-structured Interviews

This study explores how students with attention deficit and hyperactivity disorder (ADHD) perceive disclosing their condition in the context of AI-based educational technologies (AI EdTech). While disclosure may enable personalization and inclusivity, it also raises concerns about privacy, re-identification, and pressure to disclose. To understand these trade-offs, we conducted 20 semi-structured interviews with students with ADHD. Participants generally viewed AI tutors more favorably than early warning systems, which were seen as more prone to stigmatization. Willingness to disclose ADHD was greater among those who had already informed their university and was influenced by who could access the data. Participants emphasized the need for user control, including selective data sharing with lecturers. Our findings offer guidance for designing inclusive AI EdTech that supports students while safeguarding their privacy.

Authors

Institutions

Publication Details

Journal
Proceedings of the AAAI/ACM Conference on AI Ethics and Society
Published
2025-10-15
DOI
https://doi.org/10.1609/aies.v8i3.36693
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Perceived Risks and Benefits of Disclosing ADHD to AI-based Educational Technologies: Semi-structured Interviews

Markus Christen, Oriane Pierrès, Alireza Darvishy
Proceedings of the AAAI/ACM Conference on AI Ethics and Society
Human-Automation Interaction and Safety
article

Perceived Risks and Benefits of Disclosing ADHD to AI-based Educational Technologies: Semi-structured Interviews

Markus Christen, Oriane Pierrès, Alireza Darvishy
article en

Abstract

This study explores how students with attention deficit and hyperactivity disorder (ADHD) perceive disclosing their condition in the context of AI-based educational technologies (AI EdTech). While disclosure may enable personalization and inclusivity, it also raises concerns about privacy, re-identification, and pressure to disclose. To understand these trade-offs, we conducted 20 semi-structured interviews with students with ADHD. Participants generally viewed AI tutors more favorably than early warning systems, which were seen as more prone to stigmatization. Willingness to disclose ADHD was greater among those who had already informed their university and was influenced by who could access the data. Participants emphasized the need for user control, including selective data sharing with lecturers. Our findings offer guidance for designing inclusive AI EdTech that supports students while safeguarding their privacy.

Proceedings of the AAAI/ACM Conference on AI Ethics and SocietyVol. 8(3)
University of Zurich (CH), ZHAW Zurich University of Applied Sciences (CH)
Openalex Percentile: Top 67%
Human-Automation Interaction and Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Perceived Risks and Benefits of Disclosing ADHD to AI-based Educational Technologies: Semi-structured Interviews — Markus Christen, Oriane Pierrès, et al. · Proceedings of the AAAI/ACM Conference on AI Ethics and Society (2025) | TGRS Research Map | TGRS