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BIASBack In A Second
BIASBerkeley Integrated Audio Software
BIASBristol Industrial Archaeological Society (UK)
BIASBremer Institut fur Angewandte Strahltechnik (Bremen Institute for Applied Jet Technology)
BIASBattlefield Illumination Airborne System
BIASBattlefield Illumination Assistance System
BIASBurroughs Integrated Adaptive System
BIASBiological Interference With Acoustic System
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BIASBiometric Identity Assurance Services
BIASBatam International Association of Scuba Divers
References in periodicals archive ?
As long as the bias exists in humans, it will not only present in Al but the bias could be amplified.
If each of the three sections warrants a figure of 50 then this would indicate there was no bias for that race.
By increasing employees' and managers' awareness of unconscious bias, they can better understand how unconscious bias may influence their communications, interactions and decisions and appreciate how eliminating those biases allows their decision-making to be based on objective and relevant considerations.
The researchers use the Implicit Association Test (IAT) score to measure managers' bias toward ethnic minority workers.
Using bias does not always include the true bias with the most stretch, but partial bias can give a designer lots of flexibility in her creations for fitting and fabric manipulation.
The social media giant's class on managing unconscious bias already addressed racial bias, age bias, gender bias and national bias, and it will now include political bias.
A person with present-biased preferences may intend to save more in the future but never do so," the study states, adding, "a person with exponential-growth bias will underestimate the returns to savings and the costs of holding debt.
Exponential-growth bias" is a perceptual bias that relates to an individual's understanding of compound interest.
3] deposition on this substrate was conducted by application of a pulsed bias to substrates using a universal source (HP3245A; Agilent Technologies Inc.
Political partisans see bias even when news coverage really is neutral, according to Colorado State University's Cindy Christen and her coauthors.
Dave D'Alessio's book is a scholarly attempt to understand the slippery concept of media bias in the context of presidential election coverage that spans about six decades.
The study found that that physicians exhibited implicit bias at roughly the same rate as regular community members, and that explicit bias was largely absent in both groups.