Humanein the Loop
The AI Roadmap Tracker · v0.2

Are we creating the AI that serves humanity?

The Center for Humane Technology set out seven principles for AI that serves humanity. This tracker maps, week by week, how reality has drifted — across norms, laws, and product design.

Codebook v0.2 · 69 indicators · published Apr 2026. Open corpus under CC-BY 4.0.

The Matrix

Seven CHT principles × three domains of change. Each cell shows direction over the selected window.

Window: 1Y · Geography: Global. Cells with fewer than 2 signals show “insufficient data” rather than forcing a direction.

The Signal Stream

Coded events moving the matrix. Each one is tagged to an indicator, checked for triangulation, and weighted by magnitude.

All signals →
AdvancingNorms · 3.N.cGLOBALAug 25, 2026

Your brain on AI

MIT Media Lab study finds AI chatbots affect users' accuracy evaluating news headlines; MIT Technology Review coverage advances mainstream discourse on AI's cognitive effects.

WhyMIT Tech Review covers MIT Media Lab study on AI chatbots reducing news-eval accuracy, advancing cognitive-harm discourse.Mental health implications in mainstream discourse
AdvancingNorms · 5.N.aEUROPEAug 21, 2026

EFF and Civil Society Groups Call on Nottinghamshire Police to Halt Live Face Recognition

EFF and seven civil society organizations have written to Nottinghamshire Police calling for the immediate halt of a planned live facial recognition deployment, citing biometric mass surveillance concerns and disproportionate targeting of young people.

WhyEFF-led coalition of 8 civil society orgs calls Nottinghamshire Police to halt LFR; sustained civil pressure on AI surveillance.Public debate on AI surveillance and civil liberties

Why this exists

Everyone feels the drift. Nobody has a single picture of it. This tracker is that picture — grounded in the Center for Humane Technology's seven principles, coded against a public codebook, checked by triangulation before it moves the board.

How it moves

A source-aware tagger codes each event against the public rubric — direction, magnitude, indicator — using both the article and what kind of source it came from. Academic preprints don't move the matrix unless adopted in the field. Humans audit edge cases and write one deep process-tracing analysis per cycle. Cells with fewer than five signals stay blank — absence of motion is its own signal.

Open corpus

Principles, indicators, signals, and the rubric are public under CC-BY 4.0 at github.com/DavidHITL/hitl-tracker-corpus. Spotted a wrong tag, a dead link, or a missing event? Email david@tenone.eu — corrections land in the next refresh.