Communication Papers of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS)

DOI: http://dx.doi.org/10.15439/2024F6229

Citation: Communication Papers of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS), M. Bolanowski, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 41, pages 169–176 (2024)

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Abstract. The paper also looks at the difficulties and possibilities of using AI for autism therapy. This includes concerns like safeguarding data privacy, accurately understanding behavioral cues, and developing interactive, welcoming therapy settings. More specifically, the article explores how techniques from machine learning and artificial intelligence can be woven into rehabilitation methods to enhance learning and promote independence and social inclusion for individuals with autism. This examination provides a fresh and enlightening view on how clinical approaches are evolving, showing how artificial intelligence can greatly improve the lives of individuals with autism.

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