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 →
AdvancingLaws · 5.L.bUSJul 9, 2026

RentGrow to Pay $2.25 Million to Settle FTC Allegations the Company Violated the Fair Credit Reporting Act and FTC Act

The FTC settled with RentGrow for $2.25 million over FCRA violations including duplicate record reporting and failing to disclose data sources, reinforcing consumer data accuracy standards for algorithmic tenant screening decisions.

WhyFTC settles $2.25M with RentGrow for FCRA violations in tenant screening; enforces accuracy standards for algorithmic housing decisions.Algorithmic bias and discrimination protections
AdvancingDesign · 1.D.bGLOBALJul 9, 2026

Anthropic found a hidden space where Claude puzzles over concepts

Anthropic developed the "Jacobian lens," an interpretability technique providing the clearest view yet into the internal processing of large language models, with findings described as ranging from the mundane to the unnerving.

WhyAnthropic published Jacobian lens revealing internal LLM processing patterns; frontier-lab interpretability research.Public evaluation results
RegressingMajorDesign · 7.D.bGLOBALJul 9, 2026

Meta to put AI chip into production in September as it looks to double computing capacity, memo shows

Meta Platforms plans to begin manufacturing its own AI chip in September 2026, targeting 14 gigawatts of total computing capacity by 2027, deepening compute centralization in one frontier AI firm.

WhyMeta proprietary chip production targeting 14GW total capacity deepens compute centralization in one frontier firm.Decentralized and federated architectures

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.