Abstract

PRESENTATIONS & LECTURES

FAccT Conference, 2022

In this presentation, I detail the key findings from our FAccT22 paper and tool -- REAL ML: Recognizing, Exploring, and Articulating Limitations in Machine Learning.

Read the paper • Try the tool

NCWIT Webinar, 2021

In this NCWIT Webinar, I was invited to speak about my journey into the field of CS Ethics, what this field is, and why it is so important for our future.

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 thie workshop I planned and led in Santiago de Cali, Colombia. The workshop is partially in Spanish and English.

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

Interested? There's More.

Photos Courtesy of Jess ✌️