The egocentric bias is people’s tendency to fixate on their own perspective when examining events or their beliefs.
A cognitive bias is a systematic error in thinking that impacts one's choices and judgments. The concept of cognitive bias was first proposed by Amos Tversky and Daniel Kahneman in a1974 articleinScience. Since then, researchers have identified and studied numerous types of cognitive biases. These...
2. Definition Every machine learning model requires some type of architecture design and possibly some initial assumptions about the data we want to analyze. Generally, every building block and every belief that we make about the data is a form of inductive bias. Inductive biases play an import...
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Bias is a complex problem in machine learning projects. We explore the nuances, how it’s caused, and tips to address it using real-world examples.
AI is a catchall term for a set of technologies that make computers do things that are thought to require intelligence when done by people. Think of recognizing faces, understanding speech, driving cars, writing sentences, answering questions, creating pictures. But even that definition contains mu...
In our network representation, a large number of possible networks translates into a large number of possible configurations that can be attained by the social organization. Thus, we can use entropy to characterize the potentiality of the social organization, that is, its ability to attain these ...
train algorithms to classify data or predict outcomes accurately. In supervised learning, humans pair each training example with an output label. The goal is for the model to learn the mapping between inputs and outputs in the training data, so it can predict the labels of new, unseen data....
Many journalistic standards and practices are also designed to minimize the influence of implicit biases, as nothing humans produce can be entirely free of bias. Our own preconceptions can also color how we perceive elements of news coverage. Though it may sometimes seem that bias in news is bl...
Various types of gender gap are the subject of intensifying empirical research efforts worldwide. Our work is focused on gender bias in teachers’ grading, which confounds the quantitative indicators used to identify actual (real) gender gaps in pupils’ and students’ skills achievement. Two diffe...