Abstract

PRESENTATIONS & LECTURES

FAccT Conference, 2021

Building ethics into introductory coding assignments: my presentation from our Tutorial, "A Crash Course in Motivating, Supporting and Expanding Ethical Thinking in the Tech Classroom"

FAT* Conference, 2020

How can we create "fair" algorithms when we disagree on what it means for something to be "fair"?

Coding For Social Impact, 2019

The main lecture from my workshop in Santiago de Cali, Colombia.

Topics: corruption, crime, open data, data science, coding, dataviz

Ethics of Machine Learning Talk, 2018

Topics: ML fairness, training data bias, fairness metrics, performance metrics, social responsibility for data scientists

Tutorial from Jess' "Data Science for Social Impact" workshop in Cali, Colombia 2019.

Datos Profundos

Public Scholarship on Tech Ethics

The Radical AI Podcast

Interviewing experts on the most pressing issues in AI Ethics while building a movement to address the rooted issues embedded in AI systems.

Listen

SciFi in Real Life

Taking ethical dilemmas introduced in SciFi stories and applying them to contemporary issues with technology through the power of storytelling and case-studies.

Watch

Interview on Buffs Talk Science

On this podcast episode, Jess chatted with Alison and Greyson about my PhD research. They discussed AI ethics, machine learning fairness, algorithmic bias, harmful technologies, and more!

To skip directly to Jess' interview, go to minute 30:33 🎧

Interested? There's More.

Photos Courtesy of Jess ✌️