spot_img
Saturday, February 7, 2026

Worldwide LifeLong Learning

UK to Rejoin Erasmus...

UK agrees to rejoin Erasmus+ from 2027, restoring study abroad, training mobility, and education partnerships with the European Union.

Kenyan University Joins Global...

Kenya university joins global fintech network to train innovators, boost financial inclusion, and support MSMEs through interoperable digital payment technologies.

Denmark Unveils Landmark US$2.8...

Denmark launches a US$2.8B basic research fund to strengthen universities, innovation, academic freedom, and long-term scientific development from 2026–2029.

Nigeria Launches Bold Student...

Nigeria launches a major student venture capital grant to turn university innovations into scalable startups and identify the country’s next unicorns.

India Wants to Stop...

India aims to shift from exporting students to attracting global talent, reshaping higher education through internationalisation at home initiatives.

Universities Are Getting More...

Universities are rapidly digitising teaching and research, but unequal digital skills and access still shape who can truly participate in science.

Why Nursing Degrees Are...

Lawmakers debate student loan caps as nursing degrees risk reclassification, raising concerns about workforce shortages and access to care nationwide.

East Africa TVET Project...

East Africa TVET project boosts skills mobility, curricula, industry links, and graduate employment through regional integration and demand driven training.

AI in Hiring: New Study Reveals How Recruitment Tech Alters Candidate Behavior

The Hidden Impact of AI on Modern Recruitment

As artificial intelligence (AI) continues to reshape the hiring process, new research suggests it might be doing more harm than good in certain areas. A recent study by Erasmus University’s Rotterdam School of Management found that when job applicants know they’re being evaluated by AI, they change their behavior—often in ways that skew the recruitment process.

Strategic Self-Presentation: Appealing to the Algorithm

The study, which aggregated data from 12 separate experiments involving over 13,000 participants, revealed that candidates often exaggerate their analytical skills and downplay emotional traits when they believe an AI system is screening them.

According to Dr. Anne-Kathrin Klesse, associate professor of marketing management and co-author of the study, “Candidates don’t always present who they truly are. Instead, they try to match what they believe the AI is looking for.”

This means the AI might not be choosing the best people for the job—but simply the ones who know how to game the system.

AI Doesn’t Just Automate—It Influences

The implications are significant. AI doesn’t just streamline recruitment, it actively shapes outcomes. Candidates behave differently depending on whether they’re being assessed by a human or a machine. The study involved role-playing scenarios where participants applied for jobs, knowing whether they were being evaluated by AI or a human. The results were consistent: AI alters behavior, and that can lead to biased or inaccurate hiring decisions.

Recommendations to Reduce AI Bias in Hiring

To reduce unintended bias and manipulation, the researchers urge companies to take the following steps:

  • Be transparent: Let candidates know if AI is being used and how it works.
  • Audit your AI systems: Regularly check for behavioral distortions or unintended filtering.
  • Educate your hiring teams: Ensure recruiters understand how AI tools affect applicant behavior.

These best practices can help prevent narrow talent pools, promote fairness, and maintain the integrity of the hiring process.

The Broader Picture: AI and Workplace Reputation

This isn’t the first warning about AI in the workplace. A Duke University study previously found that employees using generative AI tools like ChatGPT or Claude were often perceived as less competent by colleagues and managers—even when AI boosted their performance. This suggests a growing perception problem around AI that extends beyond hiring.

Conclusion: Use AI, But Use It Responsibly

The findings make one thing clear: AI in recruitment is not neutral. While it offers efficiency and scalability, it also influences candidate behavior in subtle yet powerful ways. Organizations must ensure they use this technology transparently, ethically, and with constant oversight. As we embrace digital hiring, we must also guard against its unintended consequences.

Get notified whenever we post something new!

spot_img

Join to your future

Continue reading

Inside universities, leadership is shifting from metrics to meaning

University leadership is shifting away from rigid metrics toward judgement, trust, and human decision-making as higher education grows more complex.

India Bets on University Clusters to Turn Budget Promises into Academic Power

India’s latest budget backs university clusters and research, raising hopes and doubts about whether funding can translate into real academic quality.

When Students Lean on AI, Professors See Thinking Skills Slip

Faculty warn AI tools may weaken critical thinking, reshape learning habits, and force universities to rethink assessment, integrity, and everyday classroom practice.

Enjoy exclusive access to all of our content

Get an online subscription and you can unlock any article you come across.