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 →
AdvancingMajorNorms · 2.N.bGLOBALMay 29, 2026

How the Pope’s Magnifica Humanitas offers a template for individuals to meet the AI moment

Pope Leo XIV released a new encyclical on artificial intelligence, 'Magnifica Humanitas', declaring that 'technology is never neutral' and calling for solidarity in the AI age.

WhyThe Pope's encyclical explicitly rejects the 'technology is neutral' framing, a major normative push against 'just-a-tool' deflection.Public expectation of company accountability for AI harms
AdvancingNorms · 4.N.aGLOBALMay 26, 2026

It’s time to address the looming crisis in entry-level work.

MIT Technology Review published an analysis highlighting the nuanced impact of AI on the labor market, specifically focusing on the weakening of entry-level career opportunities rather than mass unemployment.

WhyTier-1 media analysis provides a nuanced public conversation on AI's impact on entry-level jobs, moving beyond binary replacement rhetoric.Public discourse on AI and labor

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.