Keeping trust at the core of every AI deployment 5 min read
AI impact assessments are one of the most effective ways to turn responsible AI principles into practice, but they remain underused and often difficult to operationalise.
Over the past few years, organisations have worked hard to define ethical AI principles and develop governance and usage policies. Yet progress often stalls when it comes to implementing and conducting AI impact assessments. The result? A widening gap between rapid AI adoption and consistent risk oversight.
This guide provides a practical, repeatable approach to assessing and documenting AI risks and impacts. In it, you'll find:
- typical challenges and how to avoid turning assessments into paperwork exercises
- emerging practices that balance speed and rigor
- practical prompts, roles and checkpoints to integrate across the delivery lifecycle.
It’s designed so you can move quickly, satisfy regulators and stakeholders, and keep trust at the core of every AI deployment.
