2 papers
cs.AI2026
Do Machines Fail Like Humans? A Human-Centred Out-of-Distribution Spectrum for Mapping Error Alignment
Binxia Xu, Xiaoliang Luo, Luke Dickens +1
Determining whether AI systems process information similarly to humans is central to cognitive science and trustworthy AI. While modern AI models can match human accuracy on standa…
cs.AI2024
Measuring Error Alignment for Decision-Making Systems
Binxia Xu, Antonis Bikakis, Daniel Onah +2
Given that AI systems are set to play a pivotal role in future decision-making processes, their trustworthiness and reliability are of critical concern. Due to their scale and comp…