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 →
▲AdvancingDesign · 4.D.bUSSep 28, 2026

When can we say AI made a scientific discovery?

Anthropic launched a molecular biology lab where Claude agents propose scientific hypotheses and human scientists execute experiments, illustrating augmentation-over-replacement design at a frontier AI lab.

WhyAnthropic bio lab: Claude agents conjecture, human scientists run experiments — explicit augmentation design at frontier lab.Augmentation-over-replacement framing
◐MixedNorms · 5.N.aUSSep 28, 2026

EFF to San Francisco Police: Drones are Powerful Surveillance Tools That Require a Robust Policy

The EFF formally opposed the SFPD's proposed drone surveillance policy, arguing it fails to protect privacy and civil liberties and could enable sweeping unspecified surveillance. The advocacy follows two years of SFPD drone expansion that has outpaced oversight, including a 2024 violation of California's AB 481 equipment acquisition law.

WhyEFF calls for robust oversight of SFPD drone surveillance program, highlighting inadequate civil liberties protections in proposed policy.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.