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Roy Saurabh

Research software

CSA-Lite, Context-Sliced AI Assurance Lite

Year
27 May 2026
Role
Author
Version
0.2.2

A reproducible public-records method for analysing AI risk as a function of deployment context rather than of the model alone.

Authors: Roy Saurabh

Abstract

A reproducible public-records analysis methodology for the structured coding of AI system deployments, supporting deployment-conditioned risk analysis. Companion repository for a manuscript submitted to MDPI Electronics.

Evidence

Sources

What each document establishes, and where to read it.

  1. Zenodo

    CSA-Lite, Zenodo software record

    Registers CSA-Lite v0.2.2 as software authored by Roy Saurabh, and describes it as the companion repository for a manuscript submitted to MDPI Electronics.

    View sourceDOI

Related work

Related work