Hired by Artificial Intelligence: Digital Inclusion Practices for People With Disabilities

Authors

  • Radka Nacheva University of Economics - Varna, Bulgaria

DOI:

https://doi.org/10.32674/66c03968

Keywords:

heuristic evaluation, digital inclusion, accessibility, human resource management, artificial intelligence

Abstract

Artificial intelligence (AI) rapidly advances across various industries, including healthcare, finance, education, robotics, entertainment, and commerce. Human resource (HR) management plays a crucial role in AI, helping employees feel valued and creative. However, AI-powered systems often neglect the needs of people with disabilities, who often face barriers in digital environments. This paper aims to investigate digital inclusion practices for people with disabilities in AI-driven human resource management systems. It proposes a heuristic evaluation method for software accessibility assessment based on international standards. The objectives include researching best practices for digital workplace inclusion, studying international standards for software accessibility, and researching AI-powered recruitment systems. An experiment assessed the accessibility of color schemes for people with color blindness.

Author Biography

  • Radka Nacheva, University of Economics - Varna, Bulgaria

    RADKA NACHEVA, PhD, is a Chief Assistant Professor at the Department of Informatics, University of Economics – Varna, Bulgaria. She holds a PhD in Informatics. Since 2009 Radka has been teaching in the field of computer science (Operating systems, Web Design and Technologies, UX design, E-Business, Object-oriented modelling, Business process modelling). Her research interests are targeted to human-computer interaction, including user-oriented design, user experience, software usability and accessibility; e-learning and m-learning; social media; and cognitive part of human-computer communication problems (e.g. emotions analysis and users’ mental models). Email: r.nacheva@ue-varna.bg

     

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Published

2024-10-30

Issue

Vol. 8 No. 2 (2024): Journal of Underrepresented & Minority Progress

Section

Articles