<unk>  is the propensity for humans to favor suggestions from automated decision-making systems and to ignore contradictory information made without<unk> , even if it is correct.<unk>  stems from the social psychology literature that found a bias in human-human interaction that showed that people assign more positive evaluations to decisions made by humans than to a neutral object. The same type of positivity bias has been found for human-automation interaction, where the automated decisions are rated more positively than neutral. This has become a growing problem for decision making as intensive care units, nuclear power plants, and aircraft cockpits have increasingly integrated computerized system monitors and decision aids to mostly factor out possible human error. Errors of<unk>  tend to occur when decision-making is dependent on computers or other automated aids and the human is in an observatory role but able to make decisions. Examples of<unk>  range from urgent matters like flying a plane on automatic pilot to such mundane matters as the use of spell-checking programs.
Automation bias
Funding bias
Inequality in disease
Information bias 
Construct validity
Ceiling effect 
Missing heritability problem
Age bias 