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dc.contributor.authorMcBride, Neilen
dc.contributor.authorHoffman, R. R.en
dc.date.accessioned2016-12-15T15:06:40Z
dc.date.available2016-12-15T15:06:40Z
dc.date.issued2016-09-29
dc.identifier.citationMcBride,N. and Hoffman, R.R. (2016) Bridging the Ethical Gap: From Human Principles to Robot Instructions. IEEE Intelligent Systems, 31 (5), pp. 76-82en
dc.identifier.issn1541-1672
dc.identifier.urihttp://hdl.handle.net/2086/13101
dc.descriptionThe file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.en
dc.description.abstractAsimov's three laws of robotics and the Murphy-Woods alternative laws assume that a robot has the cognitive ability to make moral decisions, and fail to escape the myth of self-sufficiency. But ethical decision making on the part of robots in human-robot interaction is grounded on the interdependence of human and machine. Furthermore, the proposed laws are high-level principles that cannot easily be translated into machine instructions because there is an immense gap between the architecture, implementation, and activity of humans and robots in addressing ethical situations. The characterization of the ethical gap, particularly with reference to the Murphy-Woods laws, leads to a proposal for a shift in focus away from the autonomous behavior of the robot to human-robot communication at the interface, and the development of interdependence rules to underpin the process of ethical decision-making.en
dc.language.isoen_USen
dc.publisherIEEEen
dc.subjectintelligent systemsen
dc.subjectlaws of roboticsen
dc.subjectrobot ethicsen
dc.subjecthuman-robot interfaceen
dc.subjectethical gapen
dc.subjectethical interdependenceen
dc.titleBridging the Ethical Gap: From Human Principles to Robot Instructionsen
dc.typeArticleen
dc.identifier.doihttp://dx.doi.org/10.1109/MIS.2016.87
dc.researchgroupCentre for Computing and Social Responsibilityen
dc.peerreviewedNoen
dc.funderN/Aen
dc.projectidN/Aen
dc.cclicenceCC-BY-NC-NDen
dc.date.acceptance2016-09-26en
dc.researchinstituteCentre for Computing and Social Responsibility (CCSR)en


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