Encoding Social & Ethical Values in Autonomous Navigation: Philosophies Behind an Interactive Online Demonstration
Autonomous Systems (ASs) interacting with human societies raises complex social & ethical challenges. This paper argues that one way of scaffolding human trust in ASs is through the encoding of ethical, legal and social impact (ELSI) considerations in the ASs’ decision-making processes. Existing ELSI-encoding efforts often focus on the implementation of rule-based and risk-based approaches, leaving key questions unanswered - what are the relationships between ELSI-encoding software logic in ASs and human ethical practises; what ethical approaches cannot be easily translated into software rules and numeric risks; and what are the implications of this for ethical AS?
Authors
- Luke Moffat (ORCID: https://orcid.org/0000-0003-2569-0784)
- Yun Tang (ORCID: https://orcid.org/0000-0002-6000-6848)
- Joe Deville (ORCID: https://orcid.org/0000-0003-0583-3493)
- Weisi Guo (ORCID: https://orcid.org/0000-0003-3524-3953)
- Corinne May‐Chahal (ORCID: https://orcid.org/0000-0001-7092-1436)
- Antonios Tsourdos (ORCID: https://orcid.org/0000-0002-3966-7633)
Institutions
- Lancaster University (GB)
- Cranfield University (GB)
Publication Details
- Published
- 2024-09-16
- DOI
- https://doi.org/10.1145/3686038.3686044
- Citations
- 3
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 1.58