Artificial Intelligence Risks: Automation Bias - Laura M. Cascella, MA

Biased data and algorithms have been identified as significant ethical and safety concerns with artificial intelligence (AI); however, another type of bias also raises concern — automation bias. Humans, by nature, are vulnerable to cognitive errors resulting from knowledge deficits, faulty heuristics, and affective influences. In healthcare, these cognitive missteps are known to contribute to medical errors and patient harm, particularly in relation to delayed and incorrect diagnoses. More...