Principles can stay abstract
Respect, transparency, and responsibility can be broadly endorsed without changing how advertising systems are designed or checked.
Case study · Institute for Advertising Ethics
How Jay’s IAE Governance Lab work connects advertising ethics to the operating questions raised by AI, identity, permission, proof, and accountability.
The problem beneath the request
Respect, transparency, and responsibility can be broadly endorsed without changing how advertising systems are designed or checked.
Automated systems can separate a decision from the person, data source, label, or permission signal behind it.
Organizations need ways to show how choices were made rather than asking people to accept a claim about responsible use.
Jay’s approach
Ask what an ethical principle would require a team, platform, or partner to document.
Bring identity, consent, labeling, provenance, and outcome questions into the same discussion.
Use the IAE Governance Lab as a place to test language, pressure points, and the shape of accountable practice.
Describe the AI Advertising Trust Stack as developing work, not as an adopted standard or completed certification.
What changed
Ethics becomes a set of operating questions leaders, agencies, platforms, and partners can examine.
The work names where AI advertising needs proof, permission, labeling, and human responsibility.
The same questions appear in Jay’s consulting work when leaders need to make consequential choices they can explain.
The through line
The IAE work helps move advertising ethics from statement to system: what was decided, on what evidence, by whom, with what permission, and with what effect on people.
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