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Generative AI-driven employment recommendations for individuals with disabilities

  • Shirli Werner
  • , Mimi Ajzenstadt
  • , Amir Winer

نتاج البحث: نشر في مجلةمقالةمراجعة النظراء

ملخص

Persons with disabilities need to make informed choices regarding their preferred employment setting. Generative artificial intelligence (GAI) may help provide such information. This study examined the employment recommendations provided by GAI to hypothetical individuals with disabilities. As access to employment among women with disabilities is reduced compared to men, this study focused specifically on women. Three vignettes describing a woman with intellectual, mental, or physical disabilities were provided to three GAI tools, and their responses were analyzed. Five themes were identified: (1) GAI recommendations and definitions of employment settings; (2) inaccuracies and biases in GAI responses; (3) GAI personal engagement; (4) actionable job search guidance; and (5) recommendations according to disability type. We discuss GAI’s potential to perpetuate bias and its usefulness in providing employment recommendations for persons with disabilities. Further, we highlight the improvements warranted in GAI to increase its effectiveness.

اللغة الأصليةالإنجليزيّة
الصفحات (من إلى)4543-4554
عدد الصفحات12
دوريةAI and Society
مستوى الصوت41
رقم الإصدار5
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 7 يناير 2026
منشور خارجيًانعم

ملاحظة ببليوغرافية

Publisher Copyright:
© The Author(s) 2026.

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