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.
The European Commission began enforcing EU AI Act rules and transparency requirements on 2 August 2026, activating binding conformity assessment obligations for high-risk AI systems across the EU.
Google pulled its Earth AI generative tool after it produced fake satellite images, with security experts warning that such tools risk eroding trust in satellite imagery used to verify conflict damage and international incidents.
New EU regulations now require companies to label chatbots, deepfakes, and AI-generated marketing material—a major binding advance in AI content attribution, though comparisons to ineffective cookie-banner compliance raise questions about enforcement depth.
Amazon completed a $50 billion equity investment in OpenAI, securing approximately a 5% stake in the leading frontier AI lab—a major capital concentration event between the world's dominant cloud provider and OpenAI, completed without reported antitrust challenge.
FT reports Big Tech AI investment has topped $1 trillion since 2023, with Google, Amazon, Microsoft and Meta driving cumulative spending that concentrates compute capacity in a small number of incumbents.
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.