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Objective Recruitment: Navigating the Bias Minefield

Recruitment is a critical function for any organisation. Finding the right talent ensures growth, innovation, and success. However, traditional recruitment processes have been plagued by biases—both conscious and unconscious. Enter AI-powered solutions like Google’s AI Gemini, which promise to revolutionise the way we hire. But as we can see with its recent launch AI may not be as objective as we hope.


Generative AI in Recruitment:

Generative AI, with its predictive analysis and machine learning capabilities, can sift through mountains of job applications, identify suitable candidates, and help streamline the recruitment process.


The Bias Challenge: Despite its potential, generative AI inherits biases from its human creators. Unconscious biases can seep into AI models, affecting hiring decisions.  As we celebrate AI’s prowess, we must acknowledge its limitations. Generative AI, if not carefully designed, can perpetuate biases leading to unfair hiring processes. So how we can ensure we try to remain as objective as possible?


Psychometric Assessments: The Quest for Objectivity




Well designed and validated psychometrics provide a consistent and objective method to measure candidates. They delve into candidate intelligence levels, values, behaviours, and motivations. By quantifying these traits, they aim to minimize subjective judgments.


Advantages of Psychometric Testing:

  • Fairness: Psychometric assessments reduce reliance on gut feelings and personal biases.

  • Insightful Data: They reveal a candidate’s suitability for a role, beyond mere qualifications.

  • Behavioural Styles: Personality assessments highlight how candidates fit into different work environments.

Its important to remember however that psychometrics aren’t immune to bias, assessments should be reviewed regularly to help minimize cultural and gender biases.


The Balancing Act: Using Both Tools Wisely

When dealing with large numbers of candidates generative AI can handle initial screening, while psychometric assessments can help to provide deeper insights. Combining AI’s efficiency with psychometric data can provide a more comprehensive view of candidates.


When using AI to help with recruitment its important to remember the following considerations:

  • Explainability: Organisations must demystify AI decisions. Transparency builds trust.

  • Guardrails: Set clear boundaries for AI’s role in recruitment.

  • Continuous Learning: AI systems should evolve, learn, and adapt to avoid stagnation and bias.


Conclusion: Striking the Right Balance

Objective recruitment is a tightrope walk. Generative AI and psychometric assessments offer powerful tools, but their effectiveness lies in how we wield them. Let’s embrace innovation while safeguarding fairness and inclusivity.


Remember, the future of recruitment isn’t about replacing humans—it’s about augmenting our abilities and creating a level playing field for all candidates.


If you would like to learn more about how GFB can support your recruitment through psychometric assessments get in touch here.

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