Ethics & Artificial Intelligence
This series is taught by Nathan Colaner, PhD, MBA. Professor Colaner is an instructor in the Departments of Management and Philosophy at Seattle University, as well as an instructor for the NSF AI Institute in Dynamic Systems.
What Do We Care About When We Care About Ethics?
This playlist of 7 episodes explores the basics of applied ethics and therefore prepares us for our exploration of the ethics of artificial intelligence.
Ethics & Artificial Intelligence: A Survey
This playlist of 7 episodes considers how to use ethical values to identify and categorize the general areas in which AI affects our well-being.
Ethics & Artificial Intelligence: Case Analysis
This playlist of 4 episodes considers how to use ethical values to reason through particular situations in which AI affects our well-being.
Machine Learning Ethics Algorithmic Accountability The Problem of Explainable Models v1
Algorithmic Bias: Ethics of Machine Learning
Classification: Algorithms & Society
Persuasion: Algorithms & Society: Algorithms & Society
Data Privacy: Data Ethics
Data Bias: Data Ethics
Reinforcement Learning: Ethics of ML
Collaboration: Algorithms & Society
All Subject Areas
