Does the Impact of Artificial Intelligence on Unemployment Among People With Disabilities Differ by Educational Level? A Dynamic Panel Threshold Approach
Artificial intelligence (AI) technologies can significantly influence the employment and career development of people with disabilities, presenting both opportunities and challenges. On the one hand, AI can enhance accessibility, create new job opportunities, and assist in skill development. On the...
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Published in | IEEE access Vol. 12; pp. 131024 - 131034 |
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Language | English |
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2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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Abstract | Artificial intelligence (AI) technologies can significantly influence the employment and career development of people with disabilities, presenting both opportunities and challenges. On the one hand, AI can enhance accessibility, create new job opportunities, and assist in skill development. On the other hand, it can lead to potential job displacement and exacerbate barriers if not implemented inclusively. The objective of this research is to explore the implications of different artificial intelligence measures (artificial intelligence, machine learning, data science, big data) and unemployment among disabled people with different educational levels (primary, secondary, tertiary). The first difference generalized method of moments with threshold model confirms the nonlinear linkages between AI and unemployment. More specifically, AI reduces the unemployment rate among people with disability only in the upper regime, particularly for those with secondary and tertiary educational levels. For unemployed disabled people with primary education, there is little evidence of the role of AI in lowering unemployment in both regimes. The findings of the present empirical study are important for designing suitable policies and strategies for reducing the unemployment rates and achieving a sustainable future for people with disability. |
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AbstractList | Artificial intelligence (AI) technologies can significantly influence the employment and career development of people with disabilities, presenting both opportunities and challenges. On the one hand, AI can enhance accessibility, create new job opportunities, and assist in skill development. On the other hand, it can lead to potential job displacement and exacerbate barriers if not implemented inclusively. The objective of this research is to explore the implications of different artificial intelligence measures (artificial intelligence, machine learning, data science, big data) and unemployment among disabled people with different educational levels (primary, secondary, tertiary). The first difference generalized method of moments with threshold model confirms the nonlinear linkages between AI and unemployment. More specifically, AI reduces the unemployment rate among people with disability only in the upper regime, particularly for those with secondary and tertiary educational levels. For unemployed disabled people with primary education, there is little evidence of the role of AI in lowering unemployment in both regimes. The findings of the present empirical study are important for designing suitable policies and strategies for reducing the unemployment rates and achieving a sustainable future for people with disability. |
Author | Abid, Mehdi Kanetaki, Zoe Sekrafi, Habib Ben-Salha, Ousama |
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Cites_doi | 10.1177/1536867X19874243 10.54675/cgba9153 10.4314/majohe.v10i1.5 10.3386/w24174 10.1016/j.techsoc.2022.101905 10.3102/00346543231194725 10.1007/978-3-030-68452-5_14 10.1080/1034912x.2020.1722073 10.1016/j.strueco.2022.09.003 10.1007/978-94-6265-523-2_7 10.1007/978-3-031-09823-9_6 10.1186/s12889-018-5420-y 10.1016/j.ijinfomgt.2019.08.002 10.3386/w25682 10.1080/09687599.2019.1649124 10.1353/jda.2023.a907737 10.1080/09585192.2019.1579749 10.1002/ijfe.2691 10.1080/13636820.2018.1480520 10.1109/ACCESS.2020.3018663 10.1080/13600818.2014.927843 10.3138/cpp.2019-024 10.1016/j.wds.2023.100107 10.3233/WOR-131641 10.1186/1477-7525-12-25 10.21776/ub.ijds.2023.10.02.3 10.1016/j.techsoc.2020.101256 10.1007/978-3-031-44097-7_1 10.18371/fcaptp.v2i33.207246 10.1016/j.jeconom.2016.03.005 |
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SubjectTerms | Artificial intelligence Big Data Career development Data science Disability Education Employment Generalized method of moments Indexes Machine learning Method of moments nonlinearity People with disabilities Professional development threshold Unemployment |
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Title | Does the Impact of Artificial Intelligence on Unemployment Among People With Disabilities Differ by Educational Level? A Dynamic Panel Threshold Approach |
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