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
+30
33
+17
28
+49
32
02Duty of Care
+11
21
+38
50
-16
47
03Human Well-being
+20
19
+55
58
-13
10
04Meaningful Work
+26
35
+4
6
-8
28
05Rights & Freedom
+63
67
+3
30
+3
10
06International Limits
+22
39
+6
45
+24
39
07Balanced Power
-14
70
+49
55
-46
63
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 →
▲AdvancingMajorLaws · 5.L.aUSOct 21, 2026

EFF's State Legislative Agenda to End ALPR Mass Surveillance

In 2026, six US states—Connecticut, Kentucky, New Jersey, New Mexico, Oregon, and Washington—enacted laws limiting police use of AI-powered automated license plate readers, marking growing state legislative momentum against algorithmic mass surveillance infrastructure.

WhySix US states enacted 2026 laws limiting police ALPR use, advancing binding restrictions on AI-based mass surveillance.Biometric and facial recognition limits
▲AdvancingMajorLaws · 5.L.cUSOct 20, 2026

Victory! Court Rules OPM Data Disclosure to DOGE Is Unlawful

A federal court in New York issued a summary judgment ruling that OPM violated the Privacy Act by disclosing millions of federal employees' personal records to DOGE agents, with a court remedy still to be determined.

WhyUS federal court: OPM violated Privacy Act disclosing fed employee records to DOGE; first ruling against DOGE data access, remedy pending.Data protection strengthening
▲AdvancingNorms · 5.N.aUSOct 19, 2026

Require Police to Get a Warrant to Search ALPR Data

EFF calls for courts and state legislatures to require police to obtain warrants before searching automated license plate reader (ALPR) data, arguing that these AI-powered surveillance systems build searchable location records of nearly everyone and must be subject to judicial oversight.

WhyEFF advocates warrant requirement for ALPR data, urging courts/legislatures to add judicial checks on AI-powered location surveillance.Public debate on AI surveillance and civil liberties
▲AdvancingNorms · 5.N.aUSOct 14, 2026

🗣 A Victory for Freedom of Speech Online | EFFector 38.18

A federal court allowed EFF's lawsuit challenging the 'Catch and Revoke' AI surveillance program—which used AI to monitor online speech and revoke visas of government critics—to proceed, marking a procedural win for civil liberties against AI-enabled speech suppression.

WhyCourt allowed EFF lawsuit vs 'Catch and Revoke' AI surveillance program; civil liberty challenge to government speech suppression.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.