On Testing Ethical Autonomous Decision-Making

Michael E. Akintunde*, Martim Brandão, Gunel Jahangirova, Hector Menendez, Mohammad Reza Mousavi, Jie Zhang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)

Abstract

We present an initial proposal for a testing framework for ethical decisions in autonomous agents, based on the well-known perception-action model. We identify three main components in our proposed framework for test-case generation, conformance analysis, and learning and adaptation of ethical models based on examples from stakeholders. We define a number of templates formalising the main ethical theories in the literature that can be further instantiated for testing concrete systems according to such theories.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Science and Business Media Deutschland GmbH
Pages3-15
Number of pages13
DOIs
Publication statusPublished - 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14165 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Autonomous Systems
  • Ethics
  • Testing

Fingerprint

Dive into the research topics of 'On Testing Ethical Autonomous Decision-Making'. Together they form a unique fingerprint.

Cite this