AI is more likely than humans to form biases when hiring

Recent research highlights significant concerns regarding the use of artificial intelligence (AI) in recruitment processes across the UK. As companies increasingly rely on AI to screen job applications, there is growing apprehension about the fairness of these automated systems.

Studies indicate that large language models (LLMs), which are often employed in these hiring processes, can inherit biases from their training data. More alarmingly, they can also generate new biases independently. This raises critical questions about the reliability of AI in making hiring decisions, as these biases could adversely affect candidates from various backgrounds.

The implications of these findings are particularly relevant in the context of the UK's diverse workforce. As businesses strive for inclusivity and equality, the potential for AI to perpetuate or even exacerbate existing biases could undermine these efforts. Critics argue that relying on AI for initial candidate assessments may lead to unfair treatment of qualified individuals based on biased algorithms rather than their actual skills and experiences.

Employers are urged to consider these risks seriously and to implement measures that ensure fairness and transparency in their hiring practices. This may involve a combination of human oversight and regular audits of AI systems to identify and mitigate biases.

As the use of AI in hiring continues to grow, it is crucial for both employers and job seekers to remain vigilant about the potential pitfalls of automated decision-making.

Source: www.technologyreview.com – https://www.technologyreview.com/2026/07/20/1140655/ai-biases-hiring-humans/