Blogs
AI, Fraud and Modern Investigations: Insights from GovNet and Nuix
Artificial intelligence is transforming the way fraud is committed, detected and investigated. Following Nuix's recent webinar with GovNet, this three-part thought leadership series explores some of the most important challenges facing investigators today, from meaningful human oversight and forensic repeatability to the legal implications of AI-generated evidence. Together, these articles provide practical insights for counter fraud professionals, investigators and public sector organisations navigating the responsible use of AI.
Human in the Loop Isn't Enough. It Has to Be Meaningful
As AI becomes increasingly embedded in investigative workflows, human oversight is often cited as the safeguard against poor outcomes. But what does meaningful human oversight actually look like? This article explores why simply keeping a person "in the loop" isn't enough, and examines the governance, accountability and decision-making needed to ensure AI supports trusted investigative processes.
Speakers
Founder and CEO, D2 Legal Technologies Professor of Law, Technology and AI, University of Surrey
VP Sales, UK&I Public Sector
Head of Hertfordshire Shared Anti-Fraud Service (SAFS)
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AI and Criminal Investigations: Promise, Peril and the Forensic Repeatability Problem
AI has the potential to transform criminal investigations by helping investigators process and analyse vast volumes of digital evidence. However, its adoption also raises important questions around forensic integrity, repeatability and evidential reliability. This article examines both the opportunities and the challenges of applying AI in criminal investigations while maintaining transparent, defensible and repeatable forensic processes.
speakers
VP Sales, UK&I Public Sector
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AI, Evidence, and the Courtroom: What Counter Fraud Professionals Need to Know
As AI-generated evidence and AI-assisted investigations become more commonplace, organisations must be prepared to demonstrate how evidence was identified, analysed and preserved. This article explores the legal and evidential considerations surrounding AI and provides practical guidance for maintaining confidence, transparency and admissibility throughout the investigative process.
SPEAKERs
Founder and CEO, D2 Legal Technologies Professor of Law, Technology and AI, University of Surrey
VP Sales, UK&I Public Sector
Head of Hertfordshire Shared Anti-Fraud Service (SAFS)