Ethics of Machine Learning
Overview
This lecture introduces students to machine learning (ML) as a socio-technical phenomenon, surveys key ethical issues particularly relevant to ML practitioners, explores the complexity of ethical reasoning, and emphasizes the importance of reflective, ethically informed programming practices.
Contributors
- Ethics materials created by Wanheng Hu, Julia Kwak, and Louie Ortiz.
Ethics goals
- Developing awareness of the ethical challenges in ML practices from a socio-technical perspective.