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.

MethodologySee the matrix ↓

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.

Norms
Laws
Design
01Safe & Transparent
+32
35
+17
28
+49
32
02Duty of Care
+12
22
+37
52
-16
47
03Human Well-being
+18
18
+55
59
-15
11
04Meaningful Work
+26
35
+1
8
-8
28
05Rights & Freedom
+63
67
+3
30
+3
10
06International Limits
+22
39
+5
47
+27
45
07Balanced Power
-14
71
+47
58
-53
68
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 · 2.N.bGLOBALOct 26, 2026

The Download: everyday AI harms and the race to nuclear spaceflight

MIT Technology Review's daily newsletter features an opinion piece by Sam Hiner (Young People's Alliance) and Emma Leiken (Responsible Technology Youth Power Fund) arguing that AI safety discourse over-focuses on catastrophic scenarios while neglecting everyday harms AI systems already cause.

WhyCivil society op-ed in MIT TR: AI safety discourse ignores everyday harms, pushing public expectation of company accountability.Public expectation of company accountability for AI harms
◐MixedMajorNorms · 7.N.aUSOct 26, 2026

Anthropic files S-1 with the SEC for proposed initial public offering

Anthropic filed an S-1 with the SEC for a proposed initial public offering, becoming the first major AI safety-focused frontier lab to seek public listing, with the 335-page prospectus including extensive risk disclosures about AI safety challenges.

WhyAnthropic S-1 files to raise public capital; mandatory SEC disclosure vs profit pressure from public markets; net neutral at filing stage.Antitrust and competition discourse applied to AI

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.