X

XAI

Deterministic Reasoning Framework (DRF)

A framework for Trustworthy AI in Critical Decision Making

The Deterministic Reasoning Framework (DRF) is a command-line experimental tool designed to demonstrate a fundamental thesis in AI safety and reliability: critical decision-making tasks involving classification or ranking should not rely on pure LLM reasoning due to its stochastic and non-reproducible nature.

Getting used to Torch with direct training, transfer learning and XAI methods on the Cats&Dogs Kaggle dataset.

Environment for evaluation of explainability methods in data streams

Explainable AI approach for Fog Computing based Impersonation Detection