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Bio, headshot, patents, and downloadable excerpts. For interviews, comment, or review copies, use the enquiry form on the author page or the contact details below.

Aziz Ahmed, professional headshot

1 · Short bio

Two sentences, ready to paste

Aziz Ahmed is a technology executive with 25 years of experience leading digital transformation in regulated financial services across India, the United States, and the United Kingdom, and the author of Defensible AI: How to Survive the Era of Liquid Evidence. Originator of the Liquid Evidence framework and the R-Score, he holds two filed US patent applications in AI auditability and writes and speaks on building AI that survives regulatory and legal challenge.

Reproduction permitted with attribution. A longer bio is on the author page.

2 · Headshot

Photography

Aziz Ahmed headshot preview

Aziz Ahmed, headshot

Credit: courtesy of Aziz Ahmed. Largest available version below; a print-resolution original is available on request.

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3 · Intellectual property

Filed patents on AI auditability

US Provisional Patent Application

No. 64/017,408

AI Agent Black Box: forensic reconstruction of AI decisions, preserving decision-time inputs, model state, and context for audit and litigation.

US Provisional Patent Application

No. 64/017,402

AI Agent Black Box: evidence engineering and defensibility controls for autonomous decision systems in regulated environments.

4 · Downloads

Excerpts & artefacts

Sample chapter · PDF

The Arithmetic of Disaster

The chapter that introduces the Defensibility Risk Equation through a £1,027,500 worked example, and the Denominator Trap.

Download sample chapter

From the appendices · PDF

The 12 Supplier Questions

Due-diligence questions to put to any AI vendor, each with why it matters. If a supplier can't answer one, that's where your Liquid Evidence will come from.

Download the 12 questions