Researchers from the Data Science and Artificial Intelligence Institute (DATAI) of the University of Navarra (Spain) have ...

A comprehensive study, co-authored by the London School of Economics, King's College London and Bayes Business School provides organizations with evidence-based approaches that can help improve ...

Novel AI methodology now guarantees confidence in decision-making models, eliminating discrimination in areas like healthcare ...

The Institute of Electrical and Electronics Engineers (IEEE) recently released IEEE 7003-2024, “Standard for Algorithmic Bias Considerations,” ...

This framework maps out the steps we will be taking to minimise bias from our entire suite of journals. We are sharing it so that other publishers can join us in making scholarly publishing more ...

We might not like to think about it, but the moment we set eyes on someone, we begin to form an impression of them that is based on the colour of their skin, their gender – even their name. This is ...

Bryce Hoffman writes about leadership, strategy, and decision making. Automation bias refers to our tendency to favor suggestions from automated decision-making systems and to ignore contradictory ...

The journal Ethology is the first to adopt the guidelines, aimed at clarifying experimental design and the potential biases within. Amanda was an associate editor at The Scientist, where she oversaw ...

The framework through which we judge future scenarios ... and website traffic is often used as a proxy for consumer interest. Bias is not just a technological flaw; it is an echo of human cognition.

The Uks Research Centre on Wednesday announced the launch of its Uks AI (Beta) platform, describing it as an artificial ...

The researchers' framework highlights conditions under which each approach was found to be most effective in the mitigation of bias: Decision-making stage: Debiasing interventions, particularly ...