• As generative artificial intelligence (AI) and other automated tools become integral to the modern workplace, South African employers must be proactive in understanding and addressing algorithmic bias.
• Algorithmic bias refers to systematic and repeatable responses in a computer system that create unfair outcomes, such as privileging one group over another. In the context of generative AI, these biases often arise because the algorithms are trained on large datasets that reflect historical patterns, including past prejudices and inequalities.
• By taking practical steps to ensure fairness and compliance, organisations can protect themselves from legal and reputational harm, foster a more inclusive workplace, and contribute to a more equitable society.

Because the algorithm, trained on historical data, has learned to favour certain names, backgrounds, or even word choices, perpetuating biases that neither the applicant nor the employer intended.

This scenario is not hypothetical. It is a growing reality as generative artificial intelligence (GenAI) and other automated tools become increasingly embedded in recruitment and workplace decision-making. As South African employers embrace these technologies, understanding and addressing algorithmic bias is not only a matter of compliance and reputation, but also of fairness and social responsibility.

Understanding algorithmic bias in GenAI

Algorithmic bias refers to systematic and repeatable responses in a computer system that...

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