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Knowledge Centre
The Cognrexa Knowledge Centre brings together approved research knowledge, publications, institutional documents, educational materials, news and interdisciplinary resources in a unified environment while identifying their evidentiary status.
KNOWLEDGE ARCHITECTURE
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Knowledge
What Explainability Actually Requires in Public-Sector AI
A plain-language look at what "explainable AI" needs to mean when the decisions affect real people.
View authorised record →KnowledgeA Primer on Regulatory Sandboxes for AI
How regulatory sandboxes work, and why they matter for responsible AI oversight.
View authorised record →PublicationExplainability Requirements for Public-Sector AI: A Framework
We propose a tiered framework for explainability requirements in public-sector AI deployments, calibrated to decision stakes and affected-population size.
View authorised record →PublicationCoastal Infrastructure Under Sea-Level Rise: A Modelling Approach
A computational modelling approach to assessing coastal infrastructure resilience under projected sea-level rise scenarios through 2075.
View authorised record →PublicationAnnual Research Report 2025
A summary of research activity, publications and outcomes across all Cognrexa divisions for the 2025 calendar year.
View authorised record →PublicationWorking Paper: Regulatory Sandboxes for AI Oversight
A working paper surveying regulatory sandbox models for AI oversight across five jurisdictions, with recommendations for a Cognrexa-supported pilot.
View authorised record →ResearchResponsible Decision Support in Public AI Systems
This project examines frameworks for deploying AI-based decision support in public sector settings, focusing on explainability, auditability and bias mitigation across the decision
View authorised record →ResearchClimate-Resilient Infrastructure Modelling
Computational modelling of infrastructure resilience under long-term climate stress scenarios, with application to coastal and urban planning in South Asia.
View authorised record →ResearchGovernance Models for Multi-Stakeholder AI Oversight
A comparative study of governance structures for AI oversight bodies, drawing on case studies from regulatory sandboxes in multiple jurisdictions.
View authorised record →ResearchFormal Models of Machine Self-Representation
Exploratory research into formal computational models of self-representation in artificial systems, and their implications for interpretability research.
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