Bias

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it’s A 4 letters crossword definition.
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Possible Answers:

SLANT.

Last seen on: –Eugene Sheffer – King Feature Syndicate Crossword – Nov 29 2022
Thomas Joseph – King Feature Syndicate Crossword – Nov 25 2022
USA Today Crossword – Sep 30 2022
Thomas Joseph – King Feature Syndicate Crossword – Apr 9 2022
LA Times Crossword 7 Jan 22, Friday
USA Today Crossword – May 11 2021
Irish Times Simplex – Mar 4 2021
The Washington Post Crossword – Jun 28 2020
LA Times Crossword 28 Jun 20, Sunday
Irish Times Simplex – Mar 6 2020
Wall Street Journal Crossword – August 19 2019 – Down to Earth

Random information on the term “Bias”:

Algorithmic bias describes systematic and repeatable errors in a computer system that create unfair outcomes, such as privileging one arbitrary group of users over others. Bias can emerge due to many factors, including but not limited to the design of the algorithm itself, unintended or unanticipated use or decisions relating to the way data is coded, collected, selected or used to train the algorithm. Algorithmic bias is found across platforms, including but not limited to search engine results and social media platforms, and can have impacts ranging from inadvertent privacy violations to reinforcing social biases of race, gender, sexuality, and ethnicity. The study of algorithmic bias is most concerned with algorithms that reflect “systematic and unfair” discrimination. This bias has only recently been addressed in legal frameworks, such as the 2018 European Union’s General Data Protection Regulation.

As algorithms expand their ability to organize society, politics, institutions, and behavior, sociologists have become concerned with the ways in which unanticipated output and manipulation of data can impact the physical world. Because algorithms are often considered to be neutral and unbiased, they can inaccurately project greater authority than human expertise, and in some cases, reliance on algorithms can displace human responsibility for their outcomes. Bias can enter into algorithmic systems as a result of pre-existing cultural, social, or institutional expectations; because of technical limitations of their design; or by being used in unanticipated contexts or by audiences who are not considered in the software’s initial design.

Bias on Wikipedia