Science fiction rarely invents the future by itself. Its deeper value lies in making possible futures visible before science, engineering, policy, capital and public demand align. From satellite communications to personal devices, stories give people a shared language for imagining what technology could mean in everyday life. This article explores how speculative fiction shapes innovation, why resemblance is not the same as causation, and how writers, designers, researchers, educators and policymakers can use speculative practice responsibly.
Publication and Dissertations
30 posts
AI in June 2026 has moved beyond software hype into infrastructure, governance, energy, finance and workforce transformation. This article explores the current state of AI, the most likely futures through 2031, and the risks that could reshape the industry.
AI agents are moving beyond chatbots into systems that can act, call tools, store memory, trigger workflows, and influence public signals. This article explores the rise of agentic threats, external agent sprawl, information bombs, and the emerging debate over whether we need an Anti-Agent Firewall.
Agentic AI is transforming the enterprise, but governance is lagging behind adoption. As organizations deploy thousands of AI agents across SaaS platforms, RPA workflows, embedded applications, and emerging vibe-coded solutions, a new risk is emerging: AI Agent Sprawl. This article explores why AI governance, agent registries, ownership, security, auditing, and lifecycle management will become essential capabilities for every modern enterprise.
This article develops the synthetic organism as a disciplined alternative to both speculative AGI and shallow agentic automation. Building from the Abstraction Fallacy, it argues that AI systems should not claim consciousness through scale, complexity, or embodiment. Instead, artificial agency can be designed as a governed, memory-bearing, context-aware, and auditable system bounded by what creators can describe, test, supervise, and govern.
Pre-crime may not arrive as a single dystopian machine. It may emerge through the quiet fusion of lawful systems: facial recognition, ALPR, CCTV analytics, police records, broker data, social media monitoring, digital identity, smart-city infrastructure, and AI summarisation. This article argues that the real danger is convergence, where evidence becomes inference, inference becomes a score, and a score becomes consequence before any person has been accused, charged, or convicted.