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Bias & Accountability
Fairness audits, hidden assumptions, dataset gaps, scoring systems, and whether bias is being reduced or simply renamed.
Updates · Reports · Benchmarks · Research papers
Independent updates on AI governance, security, and the numbers behind them.
Regular notes on AI governance, agent security, and bias — backed by published reports, reproducible benchmarks, and a companion stream of original research papers.
Not pro-AI. Not anti-AI. Evidence-first.
Every issue is built around something verifiable — a fresh benchmark run, a public report, a reproducible experiment, or a working paper queued for submission. We cite primary sources, link to the data, and publish methodology alongside results. The goal is signal that holds up when the corporate press releases age out.
What We Cover
Four standing beats. Each issue picks one and reports against current evidence.
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Agent Security
What changes when AI agents access tools, accounts, files, browsers, infrastructure, and private workflows.
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Governance Logs
Verifiable decision trails, audit layers, rollback records, signed event tokens, and policy-aware reasoning.
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Reports & Benchmarks
Reproducible benchmark runs with the data + methodology published alongside the results. No "trust us, it scored 9.4."
Latest Issues
Each issue links to its underlying report, benchmark dataset, or working paper.
Issue 001
Why AI Governance Needs Evidence, Not Vibes
Opening report — measuring trust, risk, and accountability in production AI systems.
Issue 002
The Coming Security Problem: Agents With Access
Benchmark — what changes when AI can read, write, move, trigger, and decide across connected tools.
Issue 003
Bias Is a Governance Failure Stack
Field report — bias emerging from data, incentives, policies, and feedback loops (not just the model).
Research Papers
Original work supporting the newsletter — published, in review, or queued for submission. Citation-ready BibTeX is included alongside each PDF.
2026 · Working
Signed Multi-Layer Event Tokens for AI Governance
Per-layer HMAC + coordinator signature + outer signature: composition integrity for multimodal AI events. PDF + reproducible eval pending.
2026 · In review
Constitutional Multi-Agent Architectures: A Fleet Model
Trust-level isolation, intent-gate routing, and per-container constitutional rules. Submitted; results dataset open-source.
2026 · Drafting
The Overclaim Problem: Detecting Invented Track Record in LLM Output
Deterministic post-scan for fabricated customer counts, success metrics, and industry-position claims in agent-generated text. Eval set in progress.
Subscribe to the signal.
Each issue lands with its underlying report, benchmark data, or paper PDF attached — and subscribers see new working papers before they're submitted publicly. No tracking pixels, no sponsor placements.