The Psychology of Gen AI Bias and Potential Risks for Organisational Decision Making. A Critical Analysis of Sycophancy, Commercial Incentives, Human Behaviour, and the Case for Data Quality Advocacy 1. Introduction This article addresses general purpose consumer-facing large language models trained with standard Reinforcement Learning from Human Feedback (RLHF) pipelines. This category represents the dominant class of AI tools currently deployed in organisational setting

Why the Language of Problems Holds Organisations Back from Maturity, Innovation and Sustainability. INTRODUCTION There is a word used so routinely in organisational life that its power has become invisible. Leaders speak it in opening slides, consultants build entire frameworks around it, and change programmes are commissioned in its name. That word is problem. Used with such ease and such frequency, it seems harmless, even precise. Yet the unexamined use of this

Introduction The emergence of Artificial Intelligence (AI) represents the most significant shift in temporal dynamics and organisational orthodoxies since the industrial and digital revolutions. While previous chapters explored the human relationship with temporal dynamics and orthodoxies through the lens of leadership and organisational change in the world of business transformation. AI introduces a phenomenon of exponential acceleration in our relationship to complexity, th

Introduction: The Complexity Paradox As Artificial Intelligence begins to automate the "moving of digital atoms" the routine processing, sorting, and analytical tasks that defined the late 20th-century professional a familiar "doom and gloom" narrative of total displacement has emerged. This sentiment often feels like a modern version of the Mitchell and Webb’s "Bronze Orientation" sketch , where a group of bewildered Stone Age "chippers" and "tyers" are told that their enti