When is Lying the Right Choice?

Federico Cerutti, Artemis Parvizi, Alice Toniolo, Dave Braines, Geeth R. de Mel, Timothy J. Norman, Nir Oren, Jeff Z. Pan, Gavin Pearson, Stephen D. Pipes, Paul Sullivan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Restricting the spread of sensitive information is important in domains ranging from commerce to military operations. In this position paper, we propose research aimed at exploring techniques for privacy enforcement when humans are the recipient of — possibly obfuscated — information. Such obfuscation could be considered to be a white lie, and we argue that determining what information to share and whether it should be obfuscated must be done through controlled query evaluation, which depends on each agent’s risk/benefit evaluation. We concentrate on machine-human interactions, and note that appropriate specific natural language interfaces need to be developed to handle obfuscation. We propose a solution for creating controlled query evaluation mechanisms based on robust approaches for data representation under uncertainty, viz.SDL-Lite, and propose using ITA Controlled English for natural language generation so as to handle subjectivity. We present the general architecture for our approach, with a focus on the relationship between formal ontology, controlled query evaluation, and natural language.
Original languageEnglish
Title of host publicationProceedings of the 1st Workshop on Language and Ontologies
Place of PublicationLondon, UK
PublisherAssociation for Computational Linguistics
Pages43-49
Number of pages7
Publication statusPublished - 14 Apr 2015
Event1st Workshop on Language and Ontologies - London, United Kingdom
Duration: 14 Apr 201514 Apr 2015
https://langandonto.github.io/cfp.html

Workshop

Workshop1st Workshop on Language and Ontologies
CountryUnited Kingdom
CityLondon
Period14/04/1514/04/15
Internet address

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