---
id: "aiethics:lecture/building-data-equity-systems"
type: "AI Ethics course lecture"
title: "Building Data Equity Systems"
url: "https://aiethicscourse.org/lectures/building-data-equity-systems"
authors: ["Julia Stoyanovich (Course Lead)"]
summary: "This module presents a vision for data equity systems - systems that consider equity as an essential objective. It speaks to technologists, helping them understand the role of technical interventions in making the world more equitable and just."
source: "AI Ethics: Global Perspectives (aiethicscourse.org)"
licence: "Creative Commons Attribution-ShareAlike 4.0 International (http://creativecommons.org/licenses/by-sa/4.0/)"
---

# Building Data Equity Systems

A lecture of the course [AI Ethics: Global Perspectives](https://aiethicscourse.org/).

## Lecturer

- Julia Stoyanovich (Course Lead), Associate Professor of Computer Science and Engineering, Tandon School of Engineering; Associate Professor of Data Science, Center for Data Science; Director, Center for Responsible AI, New York University

## About this lecture

This module presents a vision for building data equity systems – systems that consider equity as an essential objective. It speaks to technologists, seeking a pragmatic middle ground between techno-optimism, a belief that technology can single-handedly fix deep-seated societal problems like structural discrimination in hiring, and techno-bashing – a belief that any attempt to address inequities through technology will amount to "fairwashing" and should be dismissed outright.

## Video and transcript

- Video: [https://www.youtube.com/watch?v=g5epgc8m8Ho](https://www.youtube.com/watch?v=g5epgc8m8Ho)
- Transcript (PDF): [https://aiethicscourse.org/img/d0548089-f141-4fa2-be86-ccbdc4ef5f52.pdf](https://aiethicscourse.org/img/d0548089-f141-4fa2-be86-ccbdc4ef5f52.pdf)

## Read, watch, and listen

- [Mirror, Mirror](https://dataresponsibly.github.io/comics/vol1/mirror_en.pdf), F. Arif Khan and J. Stoyanovich, “Mirror, mirror”, Data, Responsibly Comic Series, vol. 1, 2020.
- [Fairness and friends](https://dataresponsibly.github.io/comics/vol2/fairness_en.pdf), F. Arif Khan, E. Manis, and J. Stoyanovich, “Fairness and friends”, Data, Responsibly Comic Series, vol. 2, 2021. pdf
- [Responsible Data Management](https://dataresponsibly.github.io/documents/mirror.pdf), J. Stoyanovich, B. Howe, and H. Jagadish, “Responsible data management”, PVLDB, vol. 13, no. 12, pp. 3474–3489, 2020. pdf.
- [Building Data Equity Systems – Lecture Slides and Notes](https://drive.google.com/file/d/12CuwRAEhB_CpMjpJwYWt6ZHmZ0KY3vF4/view?usp=sharing)