Tag Archives: AI and society

When Adoption Becomes The Goal, Risk Becomes Invisible By Design

This article examines how AI risk is obscured when organisations prioritise adoption over governance. Drawing on real-world examples, it argues that widespread AI usage is already endemic; but largely shallow, uncontrolled, and poorly understood. In regulated environments, optimising for uptake before addressing data lifecycle, verification, leakage, and accountability is not innovation, but a dangerous substitution of metrics for responsibility.

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Structuring Cyberpsychology: From Foundations to Practice

This article sets out the structure of a cyberpsychology curriculum designed to address the coherence gap identified in Cyberpsychology Today. Rather than treating cyberpsychology as a loose collection of effects, this framework organises the field from foundational theory through to applied practice. The phases that follow are not arbitrary. They reflect the minimum conceptual spine required to study how persistent, mediated digital environments shape human psychology, and how that knowledge can be responsibly translated into research, policy, and real-world intervention. What follows is not a manifesto, but an architecture for learning.

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