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.
Seven CHT principles × three domains of change. Each cell shows direction over the selected window.
Coded events moving the matrix. Each one is tagged to an indicator, checked for triangulation, and weighted by magnitude.
A growing trend in the labor market shows employers increasingly requiring candidates for non-tech roles to demonstrate proficiency with AI tools during interviews.
Wall Street is absorbing record fundraising hauls from frontier AI companies like Anthropic and Alphabet, highlighting the massive capital concentration in the AI race.
A UK police officer is under criminal investigation for allegedly using AI to pervert the course of justice.
The US government has issued an export control directive requiring the suspension of all access to the frontier models Fable 5 and Mythos 5.
The Electronic Frontier Foundation exposed a news site, News-USA Today, for using AI to generate articles that hallucinate fake EFF experts and quotes.
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.
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.
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.