Workshop on Including Ethics in Data Science Pedagogy

Workshop Description

Artificial Intelligence (AI) and data science technologies are increasingly being used in making consequential decisions such as determining whether someone is hired, promoted, offered a loan, or provided housing. Many of these systems however were developed and some deployed without a careful assessment of their societal impact. For example, AI systems have been shown to exhibit gender and racial biases in making hiring and sentencing decisions. Equipping the next generation data scientists with the knowledge to understand and mitigate the biases in these systems is the key to ensure that future data-driven decision making systems are fair, trustworthy and will not negatively impact the health and well-being of our society.

This two day workshop brings together prominent educators, researchers and thought leaders from academia, industry and government together to explore ideas on the best strategies to develop data science ethics curricula. The workshop consists of multiple keynote speeches, discussion panels and breakout sessions. The key outcomes of the workshop include recommendations for designing both standalone data science ethics courses as well as ethics modules that can be embedded in existing data science courses.

Workshop Goals

  1. The workshop participants will explore ideas on how to embed ethics modules (e.g., 1-2 weeks of course load) into existing data science courses (e.g., existing machine learning, data mining and social media analytics classes).
  2. The participants will explore the main ideas on how to create standalone multi-disciplinary data science courses dedicated to ethics.
  3. The participants will explore the main ideas on incorporating hands-on experience into data science ethics education.


June 17-18, 2019, Alexandria, VA

Please see Resources page for Workshop summary and slides


National Science Foundation (NSF)