Author
Andrew J. Cousins
Andrew J. Cousins is an enterprise systems engineer and independent AI researcher working on AI measurement, assurance and governance. His research operationalises Decision-Space Collapse as a measurable failure mode in which an AI response can omit configured decision paths while remaining otherwise useful or locally acceptable. He created Decision-Space Integrity (DSI), a measurement and assurance architecture for comparing governed expected structure with what an AI output makes visible, while preserving measurement identity and comparability over time. His subsequent work has examined reproducibility, measurement authority, comparability and governed intervention, with an emphasis on preserving human decision-making agency and making AI evaluation more inspectable.
Background
Enterprise systems, applied to AI assurance.
Decision-Space Integrity combines practical systems-engineering experience with research into decision-space collapse — the tendency of advisory AI outputs to make some plausible options visible while leaving others out. The framework grew out of a concern that a model response can be factually correct, safe, and helpful while still constraining the options a user can see and choose between.
"The future of AI isn't about replacing brilliance. It's about making brilliance more attainable." — Andrew J. Cousins
Work
Research, software, and record.
Research
Decision-Space Collapse in Advisory Language Models — a preprint introducing decision-space collapse and the DSI measurement framework, with public replication materials.
- Preprint: Read on this site
- DOI (v1.1): 10.17605/OSF.IO/KW25A
- DOI (v1.2): 10.5281/zenodo.23145725
- Replication: public evaluation repository
- ORCID: 0009-0005-5434-1630
Later publications:
- R-EGA (23 September 2026): DOI 10.5281/zenodo.22919859
- The Ruler Is Part of the Result (23 September 2026): DOI 10.5281/zenodo.22919868
- Decision-Space Collapse and Preference Narrowing (7 October 2026, a synthesis research note): DOI 10.5281/zenodo.23224092
Software
Decision-Space Integrity (DSI) — the measurement and assurance architecture for comparing a governed reference structure against what an AI output made visible. DSI Audit v0.2.1 is the current local implementation of it, available for private evaluation on request; it audits supplied outputs and does not generate them.
- Overview: What is DSI?
- Product: Evaluate locally
The work is the subject of patent applications filed in the UK, subject to prosecution — not yet granted. Nothing here should be read as a grant or a defined claim scope.
Contact
Open to challenge, review, and pilots.
The strongest contribution to this work is a well-aimed critique. If you have one — or want to discuss a pilot — get in touch.