His research on Authentic Intelligence examines how organisations can preserve accountability when algorithms influence important decisions.
When an algorithm recommends denying a loan, changing a workforce schedule or adjusting supply to a region, someone must still be able to explain the decision. As artificial intelligence becomes embedded in business operations, that obligation is growing more difficult to assign, particularly when decisions involve multiple teams, systems and competing priorities.
Dr. Imo Enang, working with Patrick Mukala and Ubong Nkereuwem, examines the problem in Authentic Intelligence in Digital Strategy Systems, published in Systems in February 2026. Their study proposes a socio-technical framework for keeping human judgement and accountability meaningful when automated systems shape strategic action. It explores how organisations can integrate AI into decision-making while ensuring that human responsibility remains visible throughout the process.
Three Sources Of Evidence
The study draws on interviews with 50 senior managers, 685 documented AI implementation cases and 37 discontinued implementations. These evidence streams were used to examine how organ...