Silicon Republic May 29, 2024
AI tools are combing over the digital history of potential hires to determine who exemplifies ‘the ideal candidate’, but the factors that lead to that decision may be biased.
Humans have given AI the power to exclude candidates based on details such as their past social media usage, their address and even their name.
The conversation around AI and the inherent bias that plagues the system needs to be had. We can’t ignore the obvious permeations of candidate bias in areas such as ethnicity, age, gender, social class and disability.
But rather than side-lining a valuable resource, innovators in the field of AI can acknowledge their own potential for bias and incorporate structures within the research and development...
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