April 23, 2026
AI displays bias when judging people, and that matters for some of its most common uses
AI systems don’t just process information; they systematically ‘judge’ people in ways that resemble human trust, but with important differences, according to a new study by researchers at the Hebrew University of Jerusalem (HU). The results have implications for some of the most common ways AI is already being used as a decision-maker and opinion-former, especially in recruitment and law. According to the new study in Proceedings of the Royal Society A by Prof. Yaniv Dover and Valeria Lerman of the Hebrew University Business School, the reason is both reassuring and deeply unsettling. (more…)






With the vast majority (86 percent) of UK businesses planning to offer employees greater flexibility around where they work, leaders are focused on ensuring employees feel included regardless of their location, according to new research from 
Research from the 
Employers are failing to identify and tackle potential age bias in their recruitment process, with most employers interviewed not seeing it as a ‘problem’ in their organisation, according to a new report by the 
Artificial intelligence systems need to be accountable for human bias at AI becomes more prevalent in recruitment and selection, attendees at the Employers Network for Equality & Inclusion’s annual conference have been warned. Hosted by NatWest, the conference, Diversity & Inclusion: The Changing Landscape heard from experts in ethics, psychology and computing. They explained that AIs learnt from existing data, and highlighted how information such as performance review scores and employee grading was being fed in to machines after being subjected to human unconscious bias. Dr David Snelling, the programme director for artificial intelligence at technology giant Fujitsu, illustrated how artificial intelligence is taught through human feedback. Describing how huge data sets were fed into the program, David explained that humans corrected the AI when it used that data to come to an incorrect conclusion, using this feedback to teach the AI to work correctly. However, as this feedback is subject to human error and bias, this can become embedded in the machine.








May 14, 2021
We need to acknowledge our bias if we want to see the world for what it is
by Mark Eltringham • Comment, Wellbeing, Working lives