For AI to truly improve and standardize healthcare delivery, we must confront a fundamental issue—the limited and often ...

While it may be impossible to create a completely bias-free LLM, there are steps that can be taken to mitigate the impact of ...

AI is increasingly a feature of everyday life. But with its models based on often outdated data and the field still dominated ...

The study introduces G-AUDIT (Generalized Attribute Utility and Detectability-Induced bias Testing) as a data modality-agnostic auditing tool, meaning it can be applied across different types of ...

Michele Ruiz is the CEO and co-founder of BiasSync, a science-based technology company focused on addressing unconscious bias ...

Digital technologies like AI, big data, and mobile platforms are transforming social protection, improving efficiency, ...

New AI benchmarks could help developers reduce bias in AI models, potentially making them fairer and less likely to cause harm. The research, from a team based at Stanford, was posted to the arXiv ...

The evidence is convincing in terms of the soundness of the theoretical projections and the impact that accounting for group sizes may have on inferences from surveillance data. However, it has not ...