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AI, Privacy & Accountability

An AI system is not just its model. It also includes the cameras, data flows, human reviewers, interfaces, and institutions around it. This collection follows those connections: what a device records, who can inspect it, what is deployed, and what remains an experiment or a proposal.

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Where to start

Meta's Smart Glasses Put Intimate Footage in Front of Human Reviewers

Reporting on captured footage and human review.

NameTag Shows How Close Meta Came to Face Recognition in Smart Glasses

What unreleased app code does and does not establish.

AI Wants the Lab Controls. The Hard Part Is Knowing When to Stop

Where agent software meets physical laboratory controls.

Separate capability from deployment

The NameTag story concerns unreleased code found in a smart-glasses app. The Mobile Fortify story concerns a listed deployed use case. Those are different kinds of evidence. The smart-glasses review story centers on reported access to captured footage. Each article keeps the underlying source and the scope of the claim visible.

Ask where control changes hands

The Model Hardware Standard story considers the boundary between a software agent and physical lab controls. Robot-planning and teleoperation coverage looks at other versions of that boundary. Read the task, failure conditions, and human oversight together. A plausible interface does not demonstrate that a system is safe for unattended physical work.

9 stories and builds