Tech Life AI discrimination
Apr 15, 2025
Jen Schrader, a sociologist from the Paris Institute, and Jan Hendrik Ewers, a researcher at the University of Glasgow, dive into the alarming issue of AI discrimination, shedding light on how biases can impact job opportunities and loan approvals. They discuss the implications of biased data and the pressing need for equitable AI systems. On a brighter note, they explore a groundbreaking AI project aimed at enhancing search and rescue operations for missing persons, potentially revolutionizing emergency responses.
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How AI Discriminates
- AI discrimination arises because AI learns from biased data reflecting societal inequalities.
- Algorithms can reinforce biases in job hiring, loan approvals, and housing based on names, education, or location.
Global South Bias in AI
- AI bias affects people in the global south and low-income communities due to skewed data.
- The global south also powers AI with low-paid labor yet gains little from AI's financial rewards.
Addressing AI Bias
- Completely eliminating AI bias requires addressing societal inequalities and more representative data.
- Transparency and coding understanding help, but without equity in education and access, bias persists.