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Bechmann, A and Zevenbergen, B (2020) AI and Machine Learning: Internet Research Ethics Guidelines, IRE 3.0 Companion 6.1, Association of Internet Researchers (Papers: aline shakti franzke, et al | October 2019)

Posted by Dr Gary Allen in Human Research Ethics on April 21, 2021
Keywords: Consent, Human research ethics, Institutional responsibilities, Privacy, Protection for participants, Researcher responsibilities

The Linked Original Item was Posted On June, 30 2019

A cartoon image of good and evil bot urges

aline shakti franzke (University of Duisburg-Essen), Co-Chair Anja Bechmann (Aarhus University), Co-Chair, Michael Zimmer (Marquette University), Co-Chair, Charles M. Ess (University of Oslo), Co-Chair and Editor The AoIR IRE 3.0

Ethics Working Group, including: David J. Brake, Ane Kathrine Gammelby, Nele Heise, Anne Hove Henriksen, Soraj Hongladarom, Anna Jobin, Katharina Kinder-Kurlanda, Sun Sun Lim, Elisabetta Locatelli, Annette Markham, Paul J. Reilly, Katrin Tiidenberg and Carsten Wilhelm.

0. Preview: Suggested Approaches for Diverse Readers 2

1. Summary 3

Ethical guidance for AI/algorithm/bot research.

2. Background and Introduction 3
2.1 Primary Ethical Norms 4
2.2 A Basic Ethical Approach 4
2.3 Ethical Pluralism and Cross-Cultural Awareness 5
2.3.1 A Range of Ethical Frameworks (Utilitarianism, Deontology, Feminist Ethics, etc.) 5
2.3.2 Conceptions of Selfhood 6
2.3.3 Ethical Pluralism 6
2.3.4 Judgment Calls: Guidelines, Not Recipes 6
2.3.5 Asking the Right Questions 6

3. Internet Research Ethics 3.0 9
3.1 Initial Considerations 9
3.1.1 Stages of Research. 9
3.1.2 Informed Consent.10
3.1.3 Protecting the Researcher(s) 11
3.1.4 Additional Topics 12
3.2 A General Structure for Ethical Analysis 12
3.2.1 Related Guidelines 12
3.2.2 Legal Aspects 14
3.2.3 Venues and Platforms 15
3.2.4 Cultural Dimensions 15
3.2.5 Involved Subjects 17
3.2.6 Conceptual Issues: Ethical Frameworks and Concepts 18
3.2.7 Assumptions, Questions, Issues, Procedures for Data Acquisition, Analysis, Storage, Dissemination 19
3.2.8 Algorithms and Learning Models 21
3.2.9 Other Concerns 22

4. Concluding Comments 23

5. References 25

6. Companion Resources: Topical Guidelines & Ethical Frameworks 32
6.1 Anja Bechmann & Bendert Zevenbergen: AI and Machine Learning: Internet Research Ethics Guidelines 33
6.2 Elisabetta Locatelli: Academy/Industry partnership and corporate data: Ethical considerations 50
6.3 aline shakti franzke: Feminist Research Ethics 64
6.4 Annette Markham: An “Impact Model” for Ethical Assessment 76

7. Appendices 78
7.1 Keith Douglas: Operational Security: Central Considerations 78
7.2 Members of the AoIR Ethics Working Group 3.0 82

franzke, aline shakti, Bechmann, Anja, Zimmer, Michael, Ess, Charles and the Association of Internet Researchers (2020). Internet Research: Ethical Guidelines 3.0. https://aoir.org/reports/ethics3.pdf

The cover of Bechmann, A and Zevenbergen, B (2020) AI and Machine Learning: Internet Research Ethics Guidelines, IRE 3.0 Companion 6.1, Association of Internet Researchers
Bechmann, A and Zevenbergen, B (2020) AI and Machine Learning: Internet Research Ethics Guidelines, IRE 3.0 Companion 6.1, Association of Internet Researchers
The AoIR guidelines 2019 (Internet Research Ethics 3.0) are a collaborative document that builds on the previous guidelines (IRE 1.0, 2002; IRE 2.0, 2012) and should be read in conjunction with those. IRE 3.0 is written especially for researchers, students, IRB members or technical developers who face ethical concerns during their research or are generally interested in Internet Research Ethics.

 

Related Reading

‘Silicon Valley is ethically lost’: Google grapples with reaction to its new ‘horrifying’ and uncanny AI tech – Financial Post (Mark Bergen | May 2018)

AI Gaydar Study Gets Another Look – Inside Higher Ed (Colleen Flaherty | September 2017)

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