When the situation involves making hiring decisions, the consequences can be real. Whatever attributes we associate with that particular ethnicity or race will filter our perceptions of the person. Unfortunately, upon hearing these names a certain set of assumptions will be activated automatically. Some names sound Italian, such as Tony, while the surname O-Reilly sounds Irish. Name Bias in HiringĮthnicities and even geographic origins are associated with a specific type of culture, values, and customs. The good news is that the health care industry has undertaken significant efforts to combat unconscious bias in both doctors and nurses. Discharging a patient early may also produce ill-effects. Less time with patients may lead to a misdiagnosis. In this example, an unconscious bias can have severe consequences. The inequality in treatment occurs in numerous aspects of patient care, including healthcare professionals spending less time with patients and discharging patients with insufficient follow-up. The term “health care disparities” refers to the unbalanced outcomes that exist between vulnerable patient groups and majority groups. The yearly report examines the quality of care across numerous demographics to assess equality of treatment. The Agency for Healthcare Research and Quality produces a document titled National Healthcare Quality and Disparities Report. Bias Toward Minorities in Healthcare Practices It is a quite complex issue and if you would like a brief synopsis of the matter, check out this video at: 5. The feminization of the classroom, albeit well-intentioned, has created equal problems for boys. In fact, boys are often branded as “disruptive” because they can’t sit still in their chairs and listen quietly, as girls stereotypically do. Now however, scholars are very concerned that boys are being left out. Science classrooms were diagnosed as too competitive and scientific analysis was simply a male-oriented way of thinking that is unnatural for females. It was concluded that schools were failing little girls. Many scholars pointed to the K-12 school system as the culprit. A few decades ago, tremendous concern emerged because few women became scientists. This is an example of an unconscious gender bias that has been holding the careers of women down for decades. They can be defined as “difficult” or another term that starts with the letter “B”.īoth males and females can possess nearly identical leadership styles, but the adjectives for males will be much different than the ones used for females. Unfortunately, when a female exhibits those exact same attributes, they don’t quite get the same credit. The infamous Steve Jobs was considered by everyone around to be a very direct and unrelenting perfectionist. Of course, this in large part depends on the society being examined, but generally speaking these biases are quite pervasive.įor example, when it comes to leadership style, being hard-driving and demanding have often been considered the hallmarks of excellent leadership. There are many unconscious biases related to gender. It is an unconscious bias to just assume that older individuals are less capable with technology. With the software available today, it’s just a matter of a few clicks on your laptop and all of a sudden, you have split-screens and swooping text anywhere you want. You will be amazed at how bulky the equipment is and how long it takes to implement simple production features. For example, take a look at video editing software from 30 years ago. In fact, technology just gets easier to use, not harder. This is actually a common area of complaint among older generations that are quite capable of downloading and utilizing that latest software and gadgetry. A lot of youth will just assume that older people, like their parents for example, have no clue as to how to use the latest technology. Young People are Good with TechnologyĪnother bias regarding age has to do with technology. As soon as we lump people into categories, in this case based on age, we exhibit a bias. Even if a job is not very physically demanding in terms of strength, there may be faulty assumptions about endurance as well.Įach person is supposed to be evaluated as an individual. The problem arises when this conclusion about age and strength clouds the judgement of an HR manager. This conclusion is understandable, but it is not always the case. So, it seems logical to conclude that the younger you are, the stronger you are. Just go to any gym and you can see young men and women lifting numerous sets of very heavy weight. Youth Equals StrengthĪsk any young person and they will surely tell you that older people tend to be not very strong. Dave Cornell (PhD) Examples of Unconscious Bias 1.
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