Responsible AI Marketing Resources

A sample of the practical frameworks, guides, and tools we develop for our clients. One is available free — the rest are developed as part of an engagement.

All responsible AI marketing resources

These resources give you a sense of what we build with and for our clients. The Beginner's Guide is available free — for everything else, get in touch to talk about an engagement.

Beginner's Guide to AI Governance in Marketing

Where to start when building an AI governance programme — stakeholder mapping, policy foundations, and first-step frameworks. Practical, accessible, and jargon-free.

Guide · Free

AI Bias in Digital Advertising: What Marketers Need to Know

An evidence-based examination of how algorithmic bias manifests in paid media, programmatic advertising, and audience targeting — with a practical remediation checklist.

White paper · Client resource

AI Ethics Canvas for Marketing Teams

A collaborative workshop tool for evaluating AI marketing projects against ethical criteria — covering transparency, fairness, consent, and societal impact. Includes facilitation notes.

Workshop tool · Client resource

Generative AI Disclosure Checklist

A step-by-step checklist for marketing teams using generative AI tools — covering content labelling, client disclosure obligations, and regulatory compliance under the EU AI Act.

Checklist · Client resource

The EU AI Act: Implications for Marketing Organisations

Plain-English analysis of the EU AI Act's phased requirements for marketing and advertising functions — what's already in force, what arrives in August 2026, risk classification, and practical preparation steps for each stage.

White paper · Client resource

Human Oversight Model for AI Marketing

A governance model defining human review touchpoints, escalation pathways, and accountability structures for AI-assisted marketing workflows. Adaptable for teams of any size.

Framework · Client resource

AI Vendor Due Diligence Checklist for Marketers

Before signing an AI marketing SaaS contract — evaluate vendors against ethical criteria covering data practices, bias testing, transparency, and contractual accountability provisions.

Checklist · Client resource

AI-Assisted Content: A Disclosure & Style Guide

How to develop a consistent, honest approach to disclosing AI assistance in marketing content. Covers regulatory disclosure requirements alongside NRM's own practical style guidance — building audience trust while maintaining creative quality and brand authenticity.

Guide · Client resource