icx 0.0.4

This package provides the functionality for an interactive Streamlit dashboard designed to support stakeholders in exploring individual fairness notions within algorithmic decision-making systems.

Individual Consistency eXplorer (icx) Python Package

This package provides the functionality for an interactive Streamlit dashboard designed to support stakeholders in exploring individual fairness notions within algorithmic decision-making systems.

The dashboard allows users to:

• Explore and operate on a tabular dataset of individuals provided with their corresponding binary classifications;
• Define how similarity between individuals is measured, by configuring categorisation of attributes and how distances between attribute values are computed;
• Compute and visualise five individual fairness metrics that summarise the consistency of classifications across the dataset; and
• Inspect attributes of specific individuals and of those individuals most similar to them, to explore variations in attribute values and allow like-for-like comparisons of classifications.

This package implements the functionality described in a submission to ECAI Demo Track 2025, and further details and documentation will be provided upon publication.

📦 Installation

It is recommended to install icx in a virtual environment (e.g., conda).

pip install icx

Basic Usage

from icx import dashboard

Run the dashboard

dashboard.run()