Contributing Writer

Linda Oraegbunam

A Fellow of the Royal Statistical Society, Linda focuses on making AI accountability an engineering challenge as much as a policy one through open-source tooling, peer-reviewed research, and governance frameworks for regulated organisations. Her research has been published in the Journal of AI and AI Ethics, and she recently delivered the keynote, "When the Agent Gets It Wrong – Who's Accountable?", at the Cambridge Wireless & Anglia Ruskin University Trustworthy AI event. With a background spanning the UK Civil Service, regulated commercial sectors, and machine learning research, Linda holds an MSc in Applied Artificial Intelligence and Data Analytics. She also shares practical insights on AI governance and responsible AI through her platform, AI with Linda, helping practitioners bridge the gap between AI capability and accountability.