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 · 5.N.bGLOBALJul 20, 2026

AI is more likely than humans to form biases when hiring

MIT Technology Review reports new research showing LLMs can develop their own biases in hiring beyond training data inheritance, raising concerns about AI resume-screening fairness.

WhyMIT Tech Review surfaces research that LLMs develop novel hiring biases; advances scrutiny of algorithmic discrimination in employment.Attention to algorithmic harms
AdvancingNorms · 5.N.aUSJul 17, 2026

Victory! Flock Ends Rollout of Audio "Distress Detection" of Human Voices

Flock Safety ended its Distress Detection acoustic surveillance feature after EFF advocacy and community opposition, citing civil liberties concerns and potential illegality under state eavesdropping laws. The underlying acoustic gunshot detection network remains operational.

WhyEFF advocacy won: Flock Safety ended audio distress detection rollout; validates civil society pressure norms 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.