Pre-launch

Human Intelligence for Privacy & AI Governance

Privacy impact assessment workflows for professional judgment.

TrustDPO is building PIA Studio, a pre-launch workflow product for privacy professionals, consultants, and governance teams working on privacy impact assessments, AI-related reviews, and evidence-based privacy documentation.

TrustDPO is in pre-launch development. The website is informational only. There is currently no product access, no account creation, no analytics, no tracking, no cookies for analytics or advertising, no AI processing, and no intake form.


Books

Two practical guides on privacy impact assessments and algorithmic bias — read free articles or get the book on Amazon.

Explore the books
Privacy Impact Assessment Basics cover

Privacy Impact Assessment Basics

Essential Strategies to Identify High-Risk Processing and Build Trusted Compliance

A practical guide to identify high-risk data processing and build PIA documentation regulators respect, across GDPR, LGPD, PIPEDA, and Quebec Law 25.

Algorithmic Bias cover

Algorithmic Bias

How Intelligent Systems Learn to Be Unfair — and How to Fix It

How facial recognition, hiring algorithms, and credit scoring learn to discriminate — and the governance design that can hold them accountable.


Latest insights

Algorithmic Bias Meets Privacy Law: Where the EU AI Act and GDPR Overlap

September 24, 2026

A hiring algorithm doesn't just need a DPIA. It needs a human who can actually overrule it. Here's where the EU AI Act and the GDPR ask the same question from two different directions — and why one PIA isn't enough on its own.

Algorithmic Bias Glossary: COMPAS, Proxy Bias, Contestability, and Other Terms You Need to Know

September 21, 2026

Overfitting, the bias stack, institutional narration, the refusal threshold — a working glossary of the terms this series has used, defined the way the underlying cases actually earned them.

The Architects of Trust: Who Should Be in the Room When AI Gets Approved?

September 17, 2026

Before every algorithmic harm, there was a meeting where an institution decided, or declined to decide, that a machine could act. The question that meeting never asked is the one that would have changed everything.

View all insights

Founder credentials

Founded by Flávio Napoleão
Privacy lawyer & technologist

About Flávio Napoleão