Weaponised Empathy: AI Scams and the Nigeria–UK Response

Apr 1, 2026·
Vian Bakir
Andrew McStay
Andrew McStay
,
Chiemezie Ugochukwu
· 0 min read
Abstract
This report presents findings from a three-month interdisciplinary research sprint examining the implications of AI for cybercrime and scams, with a focus on empathic AI technologies exploited by Nigerian-based actors to target victims in the UK and beyond. It argues that AI-enabled scam cultures are not solely a criminal justice problem but a developmental and socioeconomic challenge. Drawing on a multi-stakeholder policy workshop in Abuja (February 2026), and interviews with a European tech VC investor, Nigerian fintech founders, and UK regulators, the report identifies five core findings: AI amplifies longstanding scam cultures rather than originating them; economic strain, cultural rationalisation, and platform affordances produce self-sustaining scam ecosystems; legislation and enforcement consistently lag behind technological change; purely technical or legal solutions will fail without coordinated educational and economic responses; and youth engagement and skills pathways are critical to breaking the cycle. The report proposes five priorities: building trust infrastructure for Nigeria’s innovation ecosystem; creating digital skills pipelines with matched employment; expanding the UK–Nigeria MoU to include innovation and platform accountability; pre-emptive investment in deepfake detection and active digital literacy; and sustained multi-stakeholder coordination.
Type
Publication
Emotional AI Lab, Bangor University
publications
Andrew McStay
Authors
Professor of Technology and Society
Professor of Technology and Society at Bangor University and Director of the Emotional AI Lab. My research focuses on emotional and empathic AI, AI governance, and the risks of AI-enabled manipulation and scams. Author of Automating Empathy (OUP, 2023) and Chair of IEEE 7014.1-2026.