Responsible AI in Marketing: Insights, Analysis and Guidance

Practical analysis, commentary, and guidance on the ethical use of AI in marketing — covering Australian regulation, the EU AI Act, algorithmic bias, AI disclosure, and governance best practice. For practitioners, leaders, and advocates navigating this rapidly changing landscape.

Australia's Privacy Act Update: What Marketers Using AI Must Do Before December 2026

The Privacy and Other Legislation Amendment Act 2024 (Cth) introduces APP 1.7 — requiring Australian organisations to include automated decision-making transparency disclosures in their privacy policies by 10 December 2026. Marketing teams using AI for personalisation, segmentation, and campaign decisioning are directly in scope. Here's what the law requires and how to prepare.

All responsible AI marketing insights

Five Questions Every CMO Should Ask Before Deploying AI in 2026

As AI tools become standard in the CMO's toolkit, these five governance questions will determine whether your organisation leads responsibly or stumbles publicly.

What the EU AI Act Means for Your Marketing Team Right Now

The EU AI Act is rolling out in phases — prohibited practices from February 2025, GPAI rules from August 2025, and high-risk AI system requirements from August 2026. Here's what marketing functions need to assess now, and how to prioritise effort ahead of each deadline.

The Hidden Bias in Your Programmatic Advertising Stack

Algorithmic bias in media buying and audience targeting often goes undetected until it causes reputational harm. Drawing on documented cases and current ICO and industry guidance, we walk through the most common failure points and what proactive auditing looks like in practice.

How to Write an AI Disclosure That Audiences Actually Trust

Most AI disclosure statements are either too vague or too technical to be meaningful. Here's what effective disclosure looks like — and why getting it right is a genuine brand credibility opportunity.

Building an AI Governance Committee: Who Should Be in the Room?

AI governance is not a compliance function alone — it requires marketing, legal, technology, and customer insight to work together. We outline the roles, responsibilities, and decision rights that make it effective.

Generative AI in Creative: Where Responsibility Meets Reality

Generative AI is transforming creative production in marketing. Without clear guardrails, however, it introduces risks around copyright, misrepresentation, and brand safety. A look at emerging best practice.

Privacy-Preserving Personalisation: It's Not a Contradiction

The idea that you must choose between effective personalisation and genuine data privacy is a myth. We explore the technical and strategic approaches that deliver both — without compromise to either.