Transparency Reporting & Disclosure

When you use a product or service powered by AI, you deserve to know about it - and increasingly, the law agrees. Transparency reporting covers the practices organisations use to disclose how they build, train, and deploy AI systems. This includes model cards (standardised documents describing a model's capabilities and limitations), data sheets for training datasets, and regular transparency reports that detail how automated systems are being used within an organisation. The EU AI Act requires providers of high-risk systems to give users clear information about the system's purpose, accuracy levels, and known risks. Even where disclosure isn't yet legally required, it's becoming a market expectation. Customers and business partners want to know whether AI is involved in decisions that affect them, and they want to understand the basics of how it works. Good transparency reporting doesn't mean drowning people in technical documentation - it means providing the right information to the right audience in a way they can actually use. For your organisation, this means thinking carefully about what you disclose, to whom, and in what format. A technical audit report and a customer-facing explainer serve different purposes, and you likely need both.