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 ...
Researchers from the Data Science and Artificial Intelligence Institute (DATAI) of the University of Navarra (Spain) have ...
The Institute of Electrical and Electronics Engineers (IEEE) recently released IEEE 7003-2024, “Standard for Algorithmic Bias Considerations,” ...
A method known as "model pruning" can be used to pinpoint and remove neurons that consistently contribute to biased responses ...
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 ...
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 ...
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 framework through which we judge future scenarios ... and technologies—particularly artificial intelligence. Why Bias Matters in the Age of AI Just like natural intelligence, artificial ...
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 ...