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CS06 - REAL-WORLD CASE STUDIES
The Rite Aid case shows why a biometric match needs verification, limits, and evidence before anyone acts on it. The lesson reaches any system where an AI or biometric output can trigger action against a real person.

Daniel Perkins
Sep 111 min read


EB06-FTC v. Rite Aid and Unsafeguarded Facial Recognition
A biometric match does not lower the governance bar. This executive brief gives leaders the Rite Aid control questions for match verification, employee limits, and stop conditions.

Daniel Perkins
Sep 13 min read


BR06-A Biometric Match Is a Signal, Not Proof
A biometric match does not lower the governance bar. This executive brief gives leaders the Rite Aid control questions for match verification, employee limits, and stop conditions.

Daniel Perkins
Sep 12 min read


CS05 - REAL-WORLD CASE STUDIES
The SafeRent case shows why vendor scores need validation for the exact population and decision where they are used. The lesson reaches any consequential eligibility decision.

Eddie Williams III
Aug 411 min read


EB05 - Louis v. SafeRent and Algorithmic Tenant Screening
A vendor score does not lower the governance bar. This executive brief gives leaders the SafeRent control questions for score validation, vendor accountability, and protected access decisions.

Eddie Williams III
Aug 43 min read


BR05-A Vendor Score Still Needs Decision Level Evidence
The SafeRent case shows why vendor scores need validation for the exact population and decision where they are used. The lesson reaches any consequential eligibility decision.
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Eddie Williams III
Aug 42 min read


CS04 - REAL-WORLD CASE STUDIES
The FTC alleged that DoNotPay marketed its service as the world's first robot lawyer without evidence adequate to support human lawyer level claims. The final order required monetary relief, consumer notice, and restrictions on specified future claims.

Eddie Williams III
Jul 111 min read


CS03 - REAL-WORLD CASE STUDIES
The FTC alleged IntelliVision made unsubstantiated claims about facial recognition accuracy, bias, training-data scale, and anti-spoofing performance. The matter resolved through a final order with no admission and no monetary relief. The governance lesson: a fairness claim needs group-level evidence before it reaches a customer.

Daniel Perkins
Jun 111 min read


CS02 - REAL-WORLD CASE STUDIES
The FTC alleged unsupported claims about an AI powered weapons detection screening product used in schools and other high volume venues. The case resolved through a stipulated order. Evolv did not admit wrongdoing, and the governance lesson is clear: safety claims need evidence before customers rely on them.

Daniel Perkins
May 112 min read


BR 02 - Safety Claims Need Evidence Before Customers Change Controls
The FTC alleged unsupported claims about an AI powered weapons detection screening product used in schools and other high volume venues. The case resolved through a stipulated order. Evolv did not admit wrongdoing, and the governance lesson is clear: safety claims need evidence before customers rely on them.

Daniel Perkins
May 12 min read


The Oversight — Issue 001: Your Detection Clock Is Set to the Wrong Tempo
In November 2025, Anthropic published a threat disclosure about a Chinese state-linked actor that had automated most of an active intrusion campaign using

Daniel Perkins
Apr 200 min read


The NIST AI Risk Management Framework: What It Is and Why It Matters.
Most organizations deploying AI right now are skipping the blueprint entirely and going straight to implementation. The NIST AI Risk Management Framework exists to fix that. Here's what it actually covers and why non-technical leaders need to understand it before their regulators do.

Daniel Perkins
Apr 144 min read


Board Readout -01
A federal sanctions opinion showed what happens when generated legal authority reaches a court filing without independent verification. Mata v. Avianca remains a clean governance lesson: AI output is not evidence until it is checked against the source.
Daniel Perkins
Apr 12 min read
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