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
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
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
How Machines Learn Our Worst Habits: The Hidden Bias in Classification Systems
September 10, 2026
A public-school classroom in Teresina, a failed Calculus I exam, and a hard lesson learned in London taught me what overfitting looks like — years before I ever watched a machine make the same mistake.
PIA Laws, Standards, and Templates: The Practical Index by Country
September 7, 2026
ANPD, CAI, CNIL, EDPB, OPC, ISO/IEC 29134, the NIST Privacy Framework — a curated index of the regulators, standards, and templates that turn PIA theory into practice, jurisdiction by jurisdiction.
Design for Contestability: What Michigan's MiDAS Disaster Teaches About AI Accountability
September 3, 2026
Michigan let a machine decide unemployment fraud without a single human in the loop. Ninety-three percent of its findings were wrong. The lesson isn't better accuracy — it's a system people can actually contest.
Contact: contact@trustdpo.com