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AI in Vocational Rehabilitation—Intelligent Assistance for People with Disabilities

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Abstract

The use and long-term utilisation of AI-supported assistive systems in vocational rehabilitation can offer great potential to improve the participation of persons with disabilities in working life. A prerequisite is the availability of market-ready intelligent assistive technologies that generate personal benefits for persons with diverse disabilities and can be used by companies with low effort. The diffusion of these technologies can succeed if the assistance potential of AI technologies is explained and AI-supported assistive technologies are developed and introduced in a demand-oriented and participatory way. It is also important that access for persons with disabilities to these technologies is ensured, competencies for their use are promoted, and continuous further development and support for their use are ensured.

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Notes

  1. 1.

    Assistance systems are distinguished in the project KI.ASSIST into AI-based (whose functions are based on AI methods and are enabled by them) and AI-supported (digital assistive technologies that are supported by AI components in the sense of a functional extension). In this article, the term AI-supported is used, which also includes purely AI-based systems.

  2. 2.

    KI.ASSIST—Assistance services and artificial intelligence for people with severe disabilities in vocational rehabilitation, funded by the BMAS from funds of the compensation fund.

  3. 3.

    The exploratory analysis of AI components used in KI.ASSIST, based on the periodic table of AI of the platform Learning Systems (https://periodensystem-ki.de/), showed that the most frequently used concrete AI components are image recognition (26x) as well as language understanding (15x) and language generation (16x).

  4. 4.

    Sample: 83 inclusion and AI experts, methods: guideline-based interviews, online survey; evaluation of the potential suitability of the technologies for people with disabilities based on profiles of 14 typical technology examples (two per task group); influencing factors and recommendations for action for the introduction of AI-supported assistive technologies into vocational rehabilitation.

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Correspondence to Berit Blanc .

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© 2023 The Author(s), under exclusive license to Springer Fachmedien Wiesbaden GmbH, part of Springer Nature

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Blanc, B., Feichtenbeiner, R., Beudt, S., Pinkwart, N. (2023). AI in Vocational Rehabilitation—Intelligent Assistance for People with Disabilities. In: Knappertsbusch, I., Gondlach, K. (eds) Work and AI 2030. Springer, Wiesbaden. https://doi.org/10.1007/978-3-658-40232-7_41

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