Trust in AI will not come from better prompts. It will come from systems that can prove they are safe, fair, and accountable at scale.
AI governance
7 posts
As AI floods the internet with synthetic content, future models risk learning from degraded data. This article explores the hidden data crisis threatening long term AI progress.
The AI Discovery Canvas offers a fast, structured way to evaluate AI ideas before costly investment. This first look explains how the canvas helps teams clarify purpose, assess AI suitability, and make confident go or no go decisions.
This article breaks down the AI First Look framework. It covers the rapid assessment workflow, ethical checks, AI classification, data readiness and the decision pathways that help teams validate AI projects before investing resources.
This article explains how to run a structured AI discovery process using a two stage framework. It covers feasibility checks, governance, ethics, user research, data audits and technical validation for enterprise AI projects.
This article explains how The Matrix’s idea of programs hacking programs mirrors real adversarial AI behaviour. It highlights risks, benefits and future implications of AI fighting, manipulating or improving other AI systems.