GAMMA FACET is an open-source library that provides insights into the inner workings of AI models.

Key Features:

Model inspection: FACET assesses how variables interact in ML models, uncovering relationships and revealing the true contributions of each variable.

Model simulation: FACET allows for testing what-if scenarios, pointing the way to better results and helping organizations focus their improvement efforts.

Transparency: By opening the black box of AI algorithms, FACET brings a new level of transparency, enabling business leaders to align their strategies with AI predictions.

Precision: FACET clarifies the roles of key parameters, allowing organizations to optimize their efforts with surgical precision.

Responsible AI: FACET fosters responsible AI by detecting and eliminating unfair bias, promoting objective decision making.

Use Cases:

Identifying variable interactions in machine learning models

Testing different scenarios to improve model performance

Promoting transparency and aligning business strategies with AI predictions

Benefits:

Gain transparency into AI algorithms

Focus improvement efforts

Foster responsible AI and objective decision making