Apart from the examples of bias above, you can find a language bias in your JDs or at any time during the hiring process. But what is language bias? You can always find the terms on this list of biased words in job descriptions, social media posts, marketing materials, political speeches, etc. Others have already recovered or are being removed from everyday language. BIASED STATEMENT: In this article, we explore stereotypical associations between male and female gender and professional professions in the integration of contextual words. When a system systematically and by default associates certain occupations with a particular sex, it creates representative prejudice by perpetuating inappropriate stereotypes about the activities that men and women can, can or expect to perform, such as: that there are fewer female professionals in STEM (McGuire et al., 2020). When such representations are used in downstream NLP applications, there is an additional risk of gender inequality (Gonen & Webster, 2020). Our work is based on the belief that the observed correlations between gender and occupation in the incorporation of words are a symptom of an inadequate training process and that the decoration of genders and occupations would allow systems to counteract existing gender imbalances rather than exacerbate them. This regime is not definitive. Our suggestion is not that the authors stick to these categories, but perhaps highlight these categories in general to stimulate your imagination about the types of damage that might occur. Note: Ongig`s blog, 6 Ways to Avoid Age Bias in Your Job Descriptions, discusses biased words such as “digital native” and “young.” Note: You can learn more about the story behind this biased phrase on our blog “Brown Paper Bag Test”. Part of successfully explaining bias is clarifying the kind of harm that worries us and suffers from it. This explicitly serves two purposes.

On the one hand, by labeling certain behaviors as harmful, we are making a judgment based on the values we represent. It is a normative judgment because we declare that one thing is right (e.g., treating all people equally) and another thing is wrong (e.g., exploiting people for profit). On the other hand, the explicitness of our normative assumptions also makes it easier for us, our readers and our reviewers to assess whether the methods we propose are really effective in reducing the harmful effects we fear, which will help us to progress more quickly. Note: Ongi`s text parser scans job descriptions (and more) for biased words such as “blacklist” (image below), gives synonyms for unbiased language to eliminate bias, and displays a pop-up explaining why people may feel excluded or offended. “Humanity” as well as other terms that use the word “man” (e.g., “man-made” and “reserve man”) are considered by some to be gendered language and could make people who are not men feel excluded. Biased language consists of words or phrases that can make certain individuals or groups feel excluded or underrepresented. A phrase that uses bias can influence how candidates perceive your company. The ThoughtCo. Definition and examples of biased language Prejudicial, offensive and hurtful words and phrases defines biased language as follows: The term “girl” or “guy” could make some people within the LGBTQ community feel excluded when referring to a group of people. It is not recommended to assume sex in a group. A blog on Mashable on random transphobic phrases addresses these biased words: That`s why it`s important for HR leaders to understand how they and their peers can recognize the impact of unconscious bias on inclusion and limit the impact of biased perspectives, beliefs, and assumptions to support a diverse, equitable, and inclusive work environment.

“Illegal aliens” is considered a biased term with ties to race and ethnicity. “Irregular aliens” and their variants (“illegal alien”, “illegal immigrant” and “illegal worker”) dehumanize the migrant community and should be avoided. “Peanut Gallery” is a common term that is considered biased language by some people. In the 19th century, during the vaudeville era, the Peanut Gallery was often the cheapest seat with the worst views. Peanuts were sold at these shows, people sitting in the cheaper seats sometimes threw peanuts at artists they didn`t like. The Peanut Gallery was often occupied by black theater enthusiasts. This list is just a small selection of biased words and phrases. In addition to the example of bias and resources listed below and in the blogs mentioned in this article, there are many links to examples of biased language on the Internet. If you`re not sure, you can always ask a person which words they prefer. “Spirit animal” is a term used in pop culture to describe something that represents a person`s inner personality. (For example, “Rhianna is my spirit animal.”) The fact that the “spirit animal” is used in this way is offensive to Indigenous groups. This is another example of biased language that might offend people because of its racist connotations toward American Indians and other tribes whose cultures include spirit animals, totems and symbols.

Two things are worth emphasizing. First of all, this blog post is meant to help you write an explanation of bias, but maybe your work is a little different from what we had in mind when we wrote it. That`s great – we`re very interested in encouraging that discussion. Although we do not need a specific form of explanation, we recommend that you create a special section for this statement. If your case is different, do what makes sense. Reviewers are invited to comment on your bias statement in the specific context of your work, and we have recruited social sciences and humanities reviewers to assist us in this regard. And second, we encourage you to think about your concepts of bias and how they relate to people`s lived experience throughout your work, from start to finish. That`s what`s really important. The biased statement is just one way to condense the discussion in one place. The term “digital native” is an example of biased language when used as a descriptor that implies a person born or raised in the age of digital technology. This may seem to exclude older adults and increase the risk of ageism prosecutions. “Grandfathered” or “grandfathered” are perceived by some as biased and discouraged because of their racist overtones.

According to the Encyclopedia Britannica: Similar to “humanity,” the term “man-hours” is considered gendered language that can offend people who are not men.