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Artificial intelligence assistants and risk: framing a connectivity risk narrative

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dc.contributor.author Cunneen, Martin
dc.contributor.author Mullins, Martin
dc.contributor.author Murphy, Finbarr
dc.date.accessioned 2020-02-04T20:22:49Z
dc.date.issued 2019
dc.identifier.issn 0951-5666
dc.identifier.uri http://hdl.handle.net/10344/8478
dc.description peer-reviewed en_US
dc.description The full text of this article will not be available in ULIR until the embargo expires on the 07/11/2020
dc.description.abstract Our social relations are changing, we are now not just talking to each other, but we are now also talking to artificial intelligence (AI) assistants. We claim AI assistants present a new form of digital connectivity risk and a key aspect of this risk phenomenon relates to user risk awareness (or lack of) regarding AI assistant functionality. AI assistants present a significant societal risk phenomenon amplified by the global scale of the products and the increasing use in healthcare, education, business, and service industry. However, there appears to be little research concerning the need to not only understand the risks of AI assistant technologies but also how to frame and communicate the risks to users. How can users assess the risks without fully understanding the complexity of the technology? This is a challenging and unwelcome scenario. AI assistant technologies consists of a complex eco-system and demands explicit and precise communication in terms of communicating and contextualising the new digital risk phenomenon. The paper then agues for the need to examine how to best to explain and support both domestic and commercial user risk awareness regarding AI assistants. To this end, we propose the method of creating a risk narrative which is focused on temporal points of changing societal connectivity and contextualised in terms of risk. We claim the connectivity risk narrative provides an effective medium in capturing, communicating, and contextualising the risks of AI assistants in a medium that can support explainability as a risk mitigation mechanism. en_US
dc.language.iso eng en_US
dc.publisher Springer en_US
dc.relation.ispartofseries AI & Society;
dc.relation.uri https://doi.org/10.1007/s00146-019-00916-9
dc.rights The original publication is available at www.springerlink.com en_US
dc.subject connectivity en_US
dc.subject data monetisation en_US
dc.subject narratology en_US
dc.subject risk en_US
dc.title Artificial intelligence assistants and risk: framing a connectivity risk narrative en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.date.updated 2020-02-04T20:17:53Z
dc.identifier.doi 10.1007/s00146-019-00916-9
dc.date.embargoEndDate 2020-11-07
dc.embargo.terms 2020-11-07 en_US
dc.rights.accessrights info:eu-repo/semantics/embargoedAccess en_US
dc.internal.rssid 2934592
dc.internal.copyrightchecked Yes
dc.identifier.journaltitle Ai And Society
dc.description.status peer-reviewed


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