algorithmic-accountability

Claude Code skill for AI governance intelligence. Researches any topic across UK Parliament, ICO, FCA, EU AI Act, arXiv, and BAILII. Produces structured briefings with real citations, gap analysis, and trajectory assessment.

Code for the paper: Auditing the Information Quality of News-Related Queries on the Alexa Voice Assistant.

Evidence architecture for justified reliance and practical human control in AI-mediated decisions.

Open documentary assurance method for evaluating whether human authority retained practical force in AI-mediated institutional decisions.

CAP (Content / Creative AI Profile) specification: a verifiable audit framework for AI content workflows, including Safe Refusal Provenance (SRP) to cryptographically prove non-generation and policy enforcement.

🛡️ Enable cryptographic proof for AI safety filters, ensuring accountability and transparency in AI-generated content.

A governance framework for making digital systems answerable to users, with enforceable boundary constraints in shared environments.

Automated offside that admits when it cannot tell: IFAB Law 11 as a three-valued decision, abstaining inside the tracking error instead of guessing.

Point-in-time, evidence-attested toolkit for auditing AI systems against cross-jurisdiction regulation (EU AI Act, NYC Local Law 144): disparate-impact, privacy, safety, and accuracy checks recorded as signed, tamper-evident attestations.

Replication package for a preliminary 100-incident AI Incident Database audit of public-record reconstructability.