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  • Gen AI in Recruitment: Trust Gap Concerns Rise
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Gen AI in Recruitment: Trust Gap Concerns Rise


Gen AI in Recruitment: Trust Gap Concerns Rise
  • by: Source Logo
  • |
  • September 25, 2025

Talogy Recent research highlights growing concerns among hiring managers about candidates misusing generative AI (Gen AI) in recruitment, revealing a trust gap that organizations must address to ensure fair talent assessment.

Quick Intel

  • 65% of hiring managers worry about candidates using Gen AI to cheat on assessments.

  • Only 15% of entry-level professionals and 22% of job seekers admit to using Gen AI in assessments.

  • Honesty statements reduce unauthorized assistance in assessments from 28% to 13%.

  • Effective assessments align candidates with roles matching their values and skills.

  • AI use in assessments may become standard, requiring fair evaluation methods.

  • Talent management solutions are key to addressing recruitment trust issues.

Growing Concerns Over Gen AI Misuse

Talogy’s "Hiring Future Ready Early Talent" report, surveying 560 hiring managers, 564 entry-level professionals, and 138 job seekers, reveals that 65% of hiring managers are concerned about candidates leveraging Gen AI to cheat on assessments. This apprehension stems from the increasing integration of AI tools into daily life, raising questions about the integrity of recruitment processes. In contrast, only 15% of entry-level professionals and 22% of job seekers report using Gen AI during assessments, indicating a disconnect between employer concerns and candidate behavior.

Bridging the Trust Gap with Honesty Statements

To address this trust gap, Talogy introduced honesty statements, requiring candidates to pledge not to use Gen AI, search engines, or other tools during assessments. A study of over 2,000 assessment participants showed that implementing these statements significantly reduced unauthorized assistance, dropping from 28% to 13%. This approach fosters transparency and reinforces the integrity of the recruitment process, ensuring candidates are evaluated based on their true abilities.

Aligning Candidates with Organizational Fit

Effective assessments are critical for matching candidates with roles that align with their skills and values. The research underscores that candidates value roles that reflect their needs, and misusing Gen AI could undermine this alignment. By prioritizing fair and transparent evaluation methods, organizations can build trust and ensure better hiring outcomes.

The Future of AI in Talent Assessment

Ted Kinney, VP Research & Development at Talogy, emphasizes the evolving role of AI in recruitment: "Confidence in the effectiveness of assessments must be restored to make the recruitment process a success. The honesty statement plays a crucial role in this. It’s important to realize that AI is still in its infancy, so its use could also indicate that a high-potential candidate is simply using the tools and resources available to them to succeed. In the future, using AI to conduct assessments will simply be considered standard practice, so the next step is to focus on how we can improve assessments to enable fair use of AI in the talent assessment world."

As AI continues to shape recruitment, organizations must adapt by developing assessments that accommodate its fair use while maintaining evaluation integrity. Talent management solutions like those from Talogy are pivotal in navigating these challenges.

The findings highlight the need for organizations to balance technological advancements with ethical recruitment practices. By addressing the trust gap and refining assessment methods, businesses can ensure fair and effective talent acquisition in an AI-driven world.

About Talogy

Talogy is a global talent management consultancy focused on helping organizations identify, assess, and develop talent to meet their unique business needs. With expertise in psychological assessments, leadership development, and employee engagement, Talogy provides innovative solutions to optimize hiring and talent management processes across industries.

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