Document Type

Paper Presentation

Publication Date

5-2-2025

Abstract

This perspective paper examines how neurodiversity and artificial intelligence (AI) can jointly address the critical workforce shortage in cybersecurity. Drawing on peer-reviewed research, industry reports, and case studies, it explores how neurodivergent individuals—such as those with autism spectrum disorders, ADHD, and dyslexia—possess strengths in pattern recognition, logical reasoning, and attention to detail that align with cybersecurity demands. AI-based educational tools, including adaptive tutoring systems, scenario-based simulations, and real-time analytics, can personalize learning for neurodiverse students, enhancing engagement and skill mastery. The paper discusses how these targeted interventions not only accelerate knowledge retention and practical competence but also foster greater inclusion in both academic and workplace settings. Despite evidence of improved performance and reduced turnover when neurodiversity is embraced, persistent barriers such as limited awareness, rigid hiring practices, and inadequate accommodations remain. Strategies for overcoming these challenges include Universal Design for Learning (UDL), specialized faculty training, inclusive hiring policies, and supportive frameworks from both government and industry. Ethical considerations—particularly regarding data privacy—are also highlighted as crucial for sustainable AI-driven solutions. Ultimately, the paper underscores that a collaborative effort among academia, industry, and policymakers can harness neurodiverse talent powered by AI innovation to build a more resilient cybersecurity ecosystem while promoting diversity and equitable opportunities.

Host

International Society for Academic Research in Science, Technology, and Education (ARSTE)

Conference/Symposium

International Conference on Advances in Technology, Education and Science (ICATES)

City/State

Trabzon, Turkey

Department

College of Business and Management


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