Could AI Recruitment Shut Disabled Applicants Out Before Interview?

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Disclaimer: This article provides general information and editorial commentary, not individual legal advice. The Equality Act 2010 discussion relates to Great Britain; Northern Ireland has a separate equality framework. Recruitment decisions and data protection rights depend on the circumstances. Readers concerned about discrimination should seek advice promptly.

How automated hiring can create barriers, and what employers and applicants can do about them

Submitting a job application should give someone a fair opportunity to demonstrate their skills. However, when software screens, ranks or rejects applications before a recruiter sees them, disabled applicants may face barriers that are difficult to identify or challenge.

Artificial intelligence can help employers manage applications efficiently. It can also support accessibility. But employers need to understand what their systems measure, whose experiences they overlook and whether applicants have a meaningful opportunity to request adjustments.

Why automated recruitment is under scrutiny

The Information Commissioner’s Office (ICO) has made automated decision-making in recruitment a regulatory priority.

Its Recruitment Rewired report draws on voluntary engagement with more than 30 employers. The regulator found that many participating employers were likely making significant recruitment decisions solely through automation, with safeguards that needed strengthening. This was a regulatory engagement exercise, rather than a finding that every participating employer had broken the law.

The concern is straightforward: someone may lose an employment opportunity without a person properly considering their application.

Where disabled applicants could be disadvantaged

The following are illustrative risks, rather than claims about every recruitment product:

• Employment gaps: A scoring system could favour continuous employment without recognising time spent managing illness, receiving treatment or caring for someone.
• Timed assessments: A rigid test could measure speed more heavily than the skills needed for the role.
• Communication expectations: An assessment could reward one style of expression while overlooking equally capable candidates who communicate differently.
• Inaccessible interfaces: Forms, instructions or assessment platforms could be difficult to use with assistive technology.
• Availability filters: Questions about hours or working arrangements could exclude applicants before reasonable adjustments are considered.

For example, a candidate with a fluctuating condition might have substantial professional experience but a non-linear employment history. If a system treats that history as evidence of poor suitability, the employer could miss an excellent applicant.

The ICO’s fairness guidance recognises that AI systems can produce discriminatory outcomes. It also warns that simply leaving disability information out of a model does not necessarily prevent disability-related disadvantage.

The law still applies when software is involved

In Great Britain, employers must comply with the Equality Act 2010 during recruitment. Using a technology supplier does not remove the need for a lawful recruitment process.

Acas explains that employers must make reasonable adjustments for disabled job applicants and interviewees. These could include an application in a different format or additional time for an assessment. What is reasonable depends on the particular circumstances.

Recruitment teams should therefore consider adjustments before an applicant is filtered out. A contact address buried at the end of an automated process offers little practical help if rejection has already occurred.

Potential adjustments might include an accessible assessment format, breaks, written communication or an alternative way to demonstrate relevant skills. An adjustment should address the disadvantage while preserving a fair assessment of the role’s requirements.

Human oversight must be meaningful

A person clicking “approve” on a software recommendation is not necessarily providing meaningful scrutiny.

A useful review should consider the application, understand the limitations of the automated assessment and allow the reviewer to change the outcome.

The ICO’s recruitment findings emphasise transparency, meaningful human involvement and monitoring for unfairness. Employers need to understand how these requirements apply at each recruitment stage.

An employer should be able to explain why an assessment criterion matters. If a role does not require rapid responses under pressure, for instance, it should question whether a heavily timed screening exercise is appropriate.

What applicants can do?

Applicants who encounter a barrier can take practical steps:

1. Read the recruitment privacy notice. Look for information about automated screening, assessments and the use of personal information.
2. Request adjustments early. Explain the barrier and the change that would help you participate.
3. Keep written records. Save the advertisement, assessment instructions, adjustment requests and rejection messages.
4. Ask about the decision. Request clarification about whether automation determined the outcome.
5. Seek advice promptly. Acas or an appropriately qualified adviser can explain potential employment-law options.

The ICO’s guidance says applicants affected by solely automated recruitment decisions can contest the outcome, explain their position and request human review. The applicable safeguards depend on the decision and legal framework; they do not guarantee an interview or job offer.

A written request could ask the employer to explain whether the rejection was solely automated, review relevant information and consider whether an unmet adjustment affected the result.

AI can also improve access

Responsible automation could make recruitment easier through accessible document formats, clearer instructions and more flexible ways to submit information.

Its usefulness depends on design and implementation. Employers should test whether tools work for applicants with different access needs and provide an effective route to obtain help.

Candidates should not have to fit a narrow technological model of the “ideal applicant” before their actual abilities receive consideration.

A fairer approach to hiring

Employers adopting automated recruitment should ask whether their process identifies the skills needed for the job, accommodates disability-related barriers and allows decisions to be questioned.

For disabled applicants, the stakes extend beyond one rejection. Repeated exclusion can make it harder to build financial independence, professional confidence and a sustainable working life.

Technology should help employers recognise ability. That requires accessible processes, informed human judgement and accountability when something goes wrong.

Further Reading & Resources

• Recruitment rewired: an update on the ICO’s work on the fair and responsible use of automation in recruitment: ICO: Recruitment Rewired
• Here’s what jobseekers need to know about automated recruitment decisions: ICO: What jobseekers need to know about automated recruitment decisions
• Following discrimination law: Acas: Following discrimination law during recruitment
• Reasonable adjustments at work: Acas: Requesting reasonable adjustments
• AI recruitment systems to be investigated over discrimination worries: https://www.personneltoday.com/hr/ai-recruitment-discrimination-to-be-investigated-ico/
• Why Hundreds of UK Jobseekers Feel Humiliated by AI Job Interviews — And 30% Would Rather Walk Away: https://www.ibtimes.co.uk/ai-recruitment-balancing-efficiency-fairness-1809429
• Is AI in recruitment a ‘race to the bottom’?: https://www.bbc.co.uk/news/articles/ced6jv76091o
• AI Interviews Could Make Resumes Obsolete, CEO Of Greenhouse ATS Says: https://www.forbes.com/sites/rachelwells/2026/08/02/ai-interviews-could-make-resumes-obsolete-ceo-of-greenhouse-ats-says/
• California advances measures targeting AI discrimination and deepfakes: https://www.independent.co.uk/news/california-ap-sacramento-gavin-newsom-rice-b2553407.html
• Disabled Entrepreneur UK Employment Law Articles: https://disabledentrepreneur.uk/category/employment-law/