El sesgo de automatización es la tendencia de los responsables humanos de decisiones a sobrevalorar o deferir a recomendaciones de sistemas automatizados, incluso cuando esas recomendaciones son incompletas o erróneas. Es un riesgo de gobernanza porque puede debilitar la supervisión humana y hacer que errores sean aceptados sin un escrutinio adecuado.
When a human decision maker favors recommendations made by an automated decision-making system over information made without automation, even when the automated decision-making system makes errors. See Fairness: Types of bias in Machine Learning Crash Course for more information.
The tendency to over-rely on automated systems, often ignoring contradictory information or failing to monitor system output critically.