"Although there is no shortage of AI enthusiasts, the general public remains uneasy about artificial intelligence. Two concerns dominate the conversation, both amplified by popular and business media. The first is AI's capacity to automate work, fueling widespread FOBO, or fear of becoming obsolete. The second is AI's tendency to reproduce or even exacerbate human bias. On the first, the evidence remains mixed."
"Indeed, algorithms replicate the loudest and most common outcomes. Tools trained on historical hiring and promotion data mirror the demographic preferences of past decision-makers-overlooking qualified candidates and harming both those individuals and the organizations that end up missing out on better talent. Large language models producing outputs that disadvantage marginalized users because of skewed training data. Add to this the political and moral assumptions embedded, often unintentionally, in AI systems,"
General public unease about AI centers on two main concerns: automation of work and reproduction of human bias. Evidence on job displacement is mixed; AI tends to automate tasks and skills within roles rather than eliminate jobs wholesale. Most workers will need to rethink how they add value as AI exposes low-value activities and commoditizes irrelevant tasks. Algorithms often reproduce dominant outcomes because training data reflects past decisions, leading to biased hiring, exclusion of qualified candidates, and language-model outputs that disadvantage marginalized users. AI will never be bias-free, but it can sometimes be less biased than humans.
Read at Fast Company
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