MUSE. AI-driven Metamorphic Testing Inputs Generator

MUSE generates test inputs for testing the bias of AI-enabled Search Engines. It leverages the capabilities of Large Language Models (LLMs) to create a wide range of source and follow-up test cases. This tool complements GENIE, which manages communication with LLMs, and GUARD-ME, which checks for bias in responses from the systems under test.

Integration options include a Docker image that launches a REST API with interactive documentation, simplifying its use and integration into various systems. MUSE is part of the Trust4AI research project.