Affinity Bias: We all have a natural tendency to gravitate toward people similar to us in terms of race, ethnicity, gender, age and lifestyle. This unconscious bias can lead us to hire people who look ...

Researchers have unveiled SENNA, a framework that combines disentangled semantic representations with large language models ...

Ever since Daniel Kahneman and Amos Tversky formalized the concept of cognitive bias in 1972, most empirical evidence has given credence to the claim that our brain is incapable of improving our ...

Relying on tainted, inherently biased data to make critical business decisions and formulate strategies is tantamount to building a house of cards. Yet, recognizing and neutralizing bias in machine ...

In a new paper, University of Illinois Urbana-Champaign psychology professor Benedek Kurdi proposes a fresh approach to confronting implicit, or unintentional, bias in diverse organizations. He spoke ...

Harvard University study reveals that LLMs are biased like people and make character assumptions on competence and trustworthiness based on facial features.

This example of how to fight unconscious bias illustrates broader patterns you need to follow to address such problems in order to address unconscious bias to make the best people decisions. After all ...

Gender bias in healthcare is widespread. Patients, doctors, researchers, and administrators can all hold biased views about gender. These views affect how the healthcare system works and have a ...

Forbes contributors publish independent expert analyses and insights. Holly Corbett covers bias, workplace culture, and social movements. If you have a brain, you have bias. We all have unconscious ...

Deep learning models seem to prefer marketing to responsible research. For example, I just asked Gemini "How long does it take for an illiterate adult to learn to read?" The first response seemed to ...

The bias-variance tradeoff describes tension between models that are too rigid to capture real structure and models that ...