AI in Higher Education for Students with Disabilities

Artificial intelligence (AI) has the potential to significantly improve the lives of people with disabilities (PWD). Indeed, many cutting-edge AI systems, such as automatic speech recognition tools that can caption films for the deaf and hard-of-hearing, or language prediction algorithms that can augment communication for persons with speech or cognitive disabilities, were developed with the motive of improving the lives of PWD. Recently, AI has become more widely used in higher education, in areas like admission, scoring, teaching, etc. However, these AI systems may not consider the needs of students with disabilities, or worse, may actively discriminate against them.
The topics of the STS may include, but are not limited to:

Risk assessment of using AI in higher education areas such as admission, scoring, teaching, etc.
Bias in AI for PWD
PWD and evaluation data
User studies/user research

Chairs

Alireza Darvishy, Zurich University Of Applied Sciences
Oriane Pierrès, Zurich University Of Applied Sciences

Contributions to a STS have to be submitted using the standard submission procedures of ICCHP26.
When submitting your contribution please make sure to select the right STS from the drop-down list “Special Thematic Session”. Contributions to a STS are evaluated by the Programme Committee of ICCHP-AAATE and by the chair(s) of the STS. Please get in contact with the STS chair(s) for discussing your contribution and potential involvement in the session.