In this review, I provide a pessimistic assessment of the indirect measurement of attitudes by
highlighting the persisting anomalies in the science of implicit attitudes, focusing on their …

We conducted a systematic review and meta‐analysis to determine the efficacy of
interventions aimed at reducing weight bias in healthcare students, and to explore factors …

We provide experimental evidence of implicit racial bias in a large language model
(specifically ChatGPT 3.5) in the context of an educational task and discuss implications for …

Often machine learning programs inherit social patterns reflected in their training data
without any directed effort by programmers to include such biases. Computer scientists call …

El autor de este trabajo analiza qué puede aportar la perspectiva de género en el proceso
penal en los supuestos de declaración de la víctima como prueba única. Alcanza la …

Our social encounters are dizzyingly complex. They not only involve overlapping layers of
affective, conative, and cognitive engagements between self and others. They are also …

Recently, amid growing awareness that computer algorithms are not neutral tools but can
cause harm by reproducing and amplifying bias, attempts to detect and prevent such biases …

Bias could be defined as the tendency to be in favor or against a person or a group, thus
promoting unfairness. In computer science, bias is called algorithmic or artificial intelligence …

Niche construction theory highlights the active role of organisms in modifying their
environment. A subset of these modifications is the developmental niche, which concerns …

What is a bias? Standard philosophical views of both implicit and explicit bias focus this
question on the representations one harbours, for example, stereotypes or implicit attitudes …