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.
China's regulators approved DeepSeek and MiniMax AI models for global deployment, per state media, allowing frontier Chinese AI to expand internationally without a coordinated international safety framework.
OpenAI's funding round neared finalization at a $1.25 trillion valuation, further concentrating frontier AI capital at a single lab and deepening centralization of frontier model deployment capacity.
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.
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.
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.
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.