The-turing-way: Guide for Ethical Research: Introduction

[Ismael-KG]

Detailed description

captures contributions made in #913

• This issue is a place to discuss matters relating to the writing of the chapter on _Introducing Ethics in Research_ within the book of _Guide for Ethical Research_
  
  
  
  • The outline of this book is specified in pull request #913
  
  
  • This chapter is being written in pull request #1228
  
  

Planned table of contents for this chapter

1. Defining Ethics
2. Why ethics matters to research
3. The research life-cycle
4. Examples of ethical dilemmas in research

Resources

• European Textbook on Ethics in Research (2010)
• Please keep writing style consistent with the rest of the book (see this issue)

Discussion points/related issues

• Does the order of the table of contents seem logical?
• Do you have any interesting examples of ethical dilemmas in real-life research? (If there is enough info on them, they can develop into case studies for chapter 6 (the plan for each chapter is here)

Current status

This chapter is still at an early stage. If anyone would like to help, please do so!

• [X] Write chapter outline
• [ ] Review current contents
• [ ] Add material to the chapter
• [ ] Proofread
• [ ] Request reviews
• [ ] Address reviews
• [ ] Merge to master branch.

Updates

[GeorgiaHCA]

Heya @Ismael-KG - this is a beautifully written issue! I wish all the ones in my repo were this good

[Ismael-KG]

There's a nicely written paper by Ecoffet and Lehman (2020) that explains really well some big-picture moral theories, as well as how the gap between machine ethics and machine learning might be bridged

[Ismael-KG]

There's a nicely written paper by Ecoffet and Lehman (2020) that explains really well some big-picture moral theories, as well as how the gap between machine ethics and machine learning might be bridged

[LauraCarter]

Closing this now that the chapter is up! https://the-turing-way.netlify.app/ethical-research/ethics-intro.html