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Study mode:
on
1
Introduction
2
Agenda
3
What is research ethics
4
Research ethics vs broader impact
5
Research ethics is formulaic
6
Research ethics is not censorship
7
Research ethics is not subjective
8
Common misconception about research ethics
9
Imagination exercise
10
First exercise
11
Lifecourse approach
12
Learning objectives
13
Lifecourse framework
14
Ethics review
15
After the project
16
Machine learning case studies
17
Face recognition
18
Action recognition
19
Third case study
20
Breakout rooms
21
Discussion
22
Group 3 Discussion
23
Group 6 Discussion
24
Conclusion
Description:
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)
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