The HERA Approach To Morally Competent Robots

Felix Lindner, Martin Mose Bentzen, Bernhard Nebel

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    To address the requirement for autonomous moral decision making, we introduce a software library for modeling hybrid ethical reasoning agents (short: HERA). The goal of the HERA project is to provide theoretically well-founded and practically usable logic-based machine ethics tools for implementation in robots. The novelty is that HERA implements multiple ethical principles like utilitarianism, the principle of double effect, and a Pareto-inspired principle. These principles can be used to automatically assess moral situations represented in a format we call causal agency models. We discuss how to model moral situations using our approach, and how it can cope with uncertainty about moral values. Finally, we briefly outline the architecture of our robot IMMANUEL, which implements HERA and is able to explain ethical decisions to humans.
    Original languageEnglish
    Title of host publicationProceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017)
    PublisherIEEE
    Publication date2017
    Pages6991-6997
    DOIs
    Publication statusPublished - 2017
    EventIROS 2017: IEEE/RSJ International Conference on Intelligent Robots and Systems - Vancouver, Canada
    Duration: 24 Aug 201728 Aug 2017

    Conference

    ConferenceIROS 2017: IEEE/RSJ International Conference on Intelligent Robots and Systems
    CountryCanada
    CityVancouver
    Period24/08/201728/08/2017

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