Author
Andrew J Cousins
Andrew J Cousins is an enterprise software engineer and independent researcher whose work focuses on the measurement and governance of AI advisory systems. He is the creator of Decision-Space Integrity (DSI) and author of the Decision-Space Collapse research programme.
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: 10.17605/OSF.IO/KW25A
- Replication: public evaluation repository
Software
Decision-Space Integrity (DSI) — a self-hosted, stateless assurance tool that audits which configured expected paths are visible, missing, or recovered in AI model outputs. A v0.2 product candidate for evaluation and pilot.
- 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.