Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Kavindu Karunarathne

View on Semantic Scholar

1 paper indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#explainable ai Open access Oct 2026

A Two-Tier Blockchain Architecture for Verifiable Explainable-AI Audit Trails: Individual and Merkle-Batched Commitment of SHAP-Based Fraud-Detection Decisions

Machine learning systems that make automated decisions, including fraud flags, loan denials, and safety interlocks, typically generate an explanation (for example via SHAP) in the same trust domain as the model itself, leaving no independent proof that the explanation shown to an auditor is the one the model actually p...

Kavindu Karunarathne · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.