Here’s a number that should make every talent leader pause: according to a Gartner survey of nearly 3,000 job candidates, only 26% trust that AI will evaluate them fairly. That means three out of four people walking into an AI assisted hiring process are already convinced the system is working against them before a single question is asked.
It gets more telling. Another 25% from the same survey said they trust an employer less the moment they find out AI is being used to evaluate their application. Think about that for a second. You adopt a technology to make better hiring decisions, and nearly one in four candidates quietly begins to doubt your integrity as an organisation.
The numbers make a compelling headline. But they do not tell the full story. And that is exactly the problem.
Understanding the source of distrust
Candidate concerns around AI in hiring are not unfounded. They stem from three distinct but related fears, bias, invisibility, and irreversibility.
The fear of bias has historical context. High profile cases such as the scrutiny faced by HireVue over its facial recognition capabilities have influenced public perception. Even as technology evolves these narratives continue to impact how candidates perceive AI driven systems.
The second concern is invisibility. Candidates often believe that automated systems remove the context and nuance that human evaluators might consider, reducing them to data points. The absence of explanation or feedback compounds this perception.
The third concern is irreversibility. Candidates often feel that decisions are made without human review and that there is no opportunity to clarify, contest or improve their standing. This lack of recourse can make the process seem inherently unfair.Taken together, these concerns highlight a more fundamental problem. Candidates aren’t rejecting technology. They’re responding to processes that feel opaque and impersonal.
Reframing AI’s role in hiring
It’s a common misconception that AI replaces human judgment in hiring. In practice, its role is far more limited and far more constructive. AI systems organise and analyse large volumes of information, identify patterns, and introduce consistency into evaluation processes. They do not make final hiring decisions. Those decisions continue to rest with human recruiters.
This is exactly the principle we built NexxaScreen around. AI handles the structure, humans make the call. The technology should elevate the recruiter’s judgment, not replace it.
In high volume hiring environments, recruiters often review hundreds of applications under significant time pressure. This sets the stage for inconsistency to be inevitable. Research has shown that different interviewers can reach different conclusions about the same candidate with significant variation.
AI meets this challenge by providing structure. It ensures candidates are evaluated consistently against consistent criteria and reduces the impact of fatigue or subjective variation. It complements human judgement with better information and greater consistency, not replaces it.
A communication gap, not a technology gap
The core problem is not the capability of AI systems, but how they are framed and understood. Gartner advises organisations to explain how AI is used in hiring and, where possible, give candidates a choice. Transparency is key to shaping perception.
When organisations use AI without explaining its role, or what data it is evaluating, or the level of human oversight, they create a communication gap. In the absence of clarity, candidates fall back on assumptions, often informed by negative stories.
Trust isn’t created by the use or non-use of technology. It’s created by transparency, trustworthiness, and accountability.
The growing risk on the employer side
While candidate trust is the main side of the discussion, there’s a parallel risk. According to Gartner, 6% of candidates have confessed to participating in interview fraud, and estimates predict that by 2028, a large percentage of candidate profiles worldwide could be fake.
This is a risk that’s broader than hiring inefficiencies. It raises concerns around data security, organisational integrity, and operational reliability. AI driven tools are increasingly important in addressing this challenge. They can help verify identity, detect inconsistencies, and strengthen the integrity of the hiring process.
This is a challenge we encounter directly at NexxaScreen. Verification is not a nice to have anymore. It is infrastructure. In this context, the discussion shifts from whether AI should be used to how effectively it is implemented.
Moving toward a more transparent model
The trust deficit can only be overcome by a change in approach. Organisations must think of transparency as a core part of the hiring process, rather than an afterthought. This means clearly communicating where and how AI is used, outlining the role of human decision makers, and ensuring candidates understand how they are being evaluated. It also means creating processes that allow for human review and, where appropriate, candidate feedback.
When candidates see that AI is part of a structured and accountable system, rather than a black box, perceptions change.The technology becomes a tool that supports fairness rather than undermines it.
Conclusion
AI is not the underlying problem in hiring. Lack of transparency is. The current trust deficit has emerged because organisations adopted new tools without adequately explaining their role or limitations. The absence of clear communication has resulted in uncertainty for candidates.
The solution is not to slow down the use of AI, but to deploy it more thoughtfully, combining technological capability with human oversight and clear communication. When used responsibly, AI can result in a more consistent and equitable hiring process. It reduces variability, increases structure and allows decisions to be made with greater clarity.
Fair hiring has always been the goal. The question was never whether to use AI. It was whether to use it transparently. The organisations that figure this out first will not just hire better. They will be trusted more.
Authored by Vinay Jain, Founder, NexxaScreen