AI and Disability Employment: Risks, Opportunities, and the Fight for Algorithmic Fairness
The Double Edge of AI in Employment
Artificial intelligence is transforming every stage of employment — sourcing, screening, interviewing, performance management, career development. For disabled people, this transformation cuts both ways: AI can be the most powerful accessibility tool ever created, or the most efficient mechanism for systematic exclusion.
AI-Powered Hiring: The Discrimination Risk
Automated Resume Screening
Most large employers use AI-powered Applicant Tracking Systems (ATS) to filter applications:
- Gap penalties: Algorithms often penalise career gaps — disproportionately affecting people with disabilities who may have periods of health-related absence or delayed career entry
- Credential bias: Overweighting degrees and prestigious institutions disadvantages people whose education was disrupted by disability
- Keyword optimisation: Candidates need to "game" keyword matching, disadvantaging those with cognitive or learning disabilities
- Proxy discrimination: Even without explicit disability data, AI can infer disability from patterns (gap years, rehabilitation centre addresses, disability-related volunteering)
Video Interview Analysis
AI video interview tools (HireVue, Pymetrics) analyse facial expressions, tone, word choice, and body language:
- Facial expression analysis fails for people with facial paralysis, cerebral palsy, or conditions affecting facial muscle control
- Eye contact scoring penalises blind and visually impaired candidates, autistic candidates, and those with social anxiety
- Speech analysis disadvantages people who stutter, use AAC devices, or have speech impairments