The research shows that AI biases often stem from organizational pressures like cost, risk, competition, and compliance, influencing development before technical factors are considered. These biases reflect broader societal and commercial contexts, with ethical considerations often sidelined. Recommendations focus on assessing technology's impact and organizational influences on AI biases.
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