# PUTWorkbench: Analysing Privacy in AI-intensive Systems

## TL;DR

PUTWorkbench is an open-source tool designed to help practitioners balance privacy and utility in AI systems, demonstrating effective privacy-utility trade-offs with accessible models on real datasets.

## Contribution

It introduces a user-friendly, open-source prototype for analyzing privacy-utility trade-offs in AI systems without requiring advanced data science knowledge.

## Key findings

- Significant privacy-utility trade-offs achieved on real datasets
- Tool is easy to extend and use by practitioners
- Effective privacy models without complex data science background

## Abstract

AI intensive systems that operate upon user data face the challenge of balancing data utility with privacy concerns. We propose the idea and present the prototype of an open-source tool called Privacy Utility Trade-off (PUT) Workbench which seeks to aid software practitioners to take such crucial decisions. We pick a simple privacy model that doesn't require any background knowledge in Data Science and show how even that can achieve significant results over standard and real-life datasets. The tool and the source code is made freely available for extensions and usage.