Neurodiversity, Human Experience, and the Hiring Machine
Psychology Today
Automated hiring systems often reinforce biases, including ageism and neuroexclusion, by relying on historically biased data that fails to account for neurodivergent candidates. These systems may inadvertently exclude qualified individuals by misinterpreting or undervaluing traits common in neurodivergent people, perpetuating cycles of discrimination and unemployment. Human bias can be corrected locally, but algorithmic bias embedded in widespread automated systems poses a greater and more systemic threat to fair hiring practices.
All articles from 2 October 2026. Summaries are AI-generated and may contain errors; the linked article is the authority.