Explore a comprehensive tutorial on research ethics that goes beyond the typical "broader impact" considerations. Delve into the nuances of ethical thinking in research, dispelling common misconceptions and emphasizing its importance in the field of computing. Learn to apply a lifecourse approach to ethical considerations, from project inception to completion. Engage with real-world machine learning case studies, including face recognition and action recognition, to understand practical ethical challenges. Participate in breakout room discussions to apply newfound knowledge and share insights with peers. Gain valuable tools for thinking critically about research ethics and effectively incorporating ethical considerations into your work.
Translation Tutorial - Thinking Through and Writing About Research Ethics Beyond "Broader Impact"
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
Introduction
Agenda
What is research ethics
Research ethics vs broader impact
Research ethics is formulaic
Research ethics is not censorship
Research ethics is not subjective
Common misconception about research ethics
Imagination exercise
First exercise
Lifecourse approach
Learning objectives
Lifecourse framework
Ethics review
After the project
Machine learning case studies
Face recognition
Action recognition
Third case study
Breakout rooms
Discussion
Group 3 Discussion
Group 6 Discussion
Conclusion
Taught by
ACM FAccT Conference
