We conduct research at the intersection of human-computer interaction and machine learning. Our research projects investigate questions related to the people and data that fuel powerful "artificial intelligence" technologies.

Each data record upstream of an AI system was created with the involvement of a person (and more often than not, a group of people), so many "data-centred" projects involve people and many "human-centred" projects involve data. Our work seeks to understand these relationships and empower people to control how their data is used, and ultimately, ensure that AI is used responsibly.

Core Projects

Discover our key projects that aim to empower individuals and ensure responsible AI usage.

Data Levers

You are a crucial source of data needed to train and test AI. You can use your data flow as a bargaining chip; send data to AI systems you support, and don't send it to those you don't.

Data Napkin

This interactive tool allows you to adjust assumptions and play with the numbers. The underlying math is simple arithmetic, yet it provides a framework to reason about order-of-magnitude estimates.

Algorithmic Collective Action with Two Collectives

Aditya Karan, Nicholas Vincent, Karrie Karahalios, Hari Sundaram

ACM FAccT 2025

Push and Pull: A Framework for Measuring Attentional Agency on Digital Platforms

Zachary Wojtowicz, Shrey Jain, Nicholas Vincent

ACM FAccT 2025