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Learning from the Ethics of AI – A Research Proposal on Soft Law and Ethics of AI Cover

Learning from the Ethics of AI – A Research Proposal on Soft Law and Ethics of AI

By: Johan Rochel  
Open Access
|Feb 2023

Figures & Tables

NAMESTATIST AND INTERNATIONAL ORGANIZATION SOFT LAWPROCESS-ORIENTED SOFT LAWEXPERTISE-ORIENTED SOFT LAWDE FACTO RELEVANT STANDARD SOFT LAW
Main features- Focus on States/IO
- Aggregative dimension (=> emergence of a consensus)
- Focus on legally relevant effect through crystallization of relevant issues/solutions
- Claim to identify/structure the relevant issues and/or to provide interpretative guidance
- Focus on legally relevant effect through interpretative guidance- Technical standards/rules set by global/regional organizations
Further research questions- Empirical investigation on an emerging consensus
- Computational tools to further structure and analyse texts (NLP/sentiments analysis, see below)
- Empirical investigation on the impact of specific crystallization processes
- Normative work on the quality required for the process
- Definition of expertise (e.g. tensions with economic/political interests)
- Normative work on integrating this interpretative guidance into VCLT canons
- Empirical investigation on how this expertise enters the law
- Empirical investigation on how these technical standards enter the law
- Normative work on the quality required for the standard-setting process
DOI: https://doi.org/10.5334/tilr.297 | Journal eISSN: 2211-0046
Language: English
Published on: Feb 17, 2023
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2023 Johan Rochel, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.