Understanding individuals' perceptions regarding cognitive computing systems

  • Artificial Intelligence based Information Systems (AI-based IS) play an increasingly im-portant role in everyday life of individuals, and for organizations that invest substantial-ly into such systems, e.g., to transform and optimize their business processes. These AI-based IS can aggregate such capabilities as knowing, reasoning and autonomously (re)acting, hence, a considerable amount of capabilities that are human-like. In addition, the most current AI-based IS, also referred to as, cognitive computing systems (CCS), are capable to process unstructured data, such as audio-visual inputs, enabling these sys-tems to mimic human-cognition in ways not seen in previous IS. These systems challenge long standing assumptions, about how humans use IS and how these IS generate out-comes. In this study we endeavor to better understand what factors affect individuals’ perception regarding these CCS. Based on sixteen semi-structured interviews, we pro-pose nine preliminary factors, that appear toArtificial Intelligence based Information Systems (AI-based IS) play an increasingly im-portant role in everyday life of individuals, and for organizations that invest substantial-ly into such systems, e.g., to transform and optimize their business processes. These AI-based IS can aggregate such capabilities as knowing, reasoning and autonomously (re)acting, hence, a considerable amount of capabilities that are human-like. In addition, the most current AI-based IS, also referred to as, cognitive computing systems (CCS), are capable to process unstructured data, such as audio-visual inputs, enabling these sys-tems to mimic human-cognition in ways not seen in previous IS. These systems challenge long standing assumptions, about how humans use IS and how these IS generate out-comes. In this study we endeavor to better understand what factors affect individuals’ perception regarding these CCS. Based on sixteen semi-structured interviews, we pro-pose nine preliminary factors, that appear to influence individuals’ perceptions regarding CCS.show moreshow less

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Metadaten
Author:Maximilian von WelckGND, Ingrid Julia Derdak, Daniel VeitORCiDGND
URN:urn:nbn:de:bvb:384-opus4-832421
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/83242
URL:https://aisel.aisnet.org/icis2020/implement_adopt/implement_adopt/11/
ISBN:978-1-7336325-5-3OPAC
Parent Title (English):ICIS 2020 Proceedings – Making Digital Inclusive: Blending the Local and the Global, December 13-16, 2020, Hyderabad, India
Publisher:AISeL
Place of publication:New York, NY
Editor:Joey George, Souren Paul, Rahul De', Elena Karahanna, Suprateek Sarker, Gal Oestreicher-Singer
Type:Conference Proceeding
Language:English
Year of first Publication:2020
Publishing Institution:Universität Augsburg
Release Date:2021/02/05
First Page:2225
Institutes:Wirtschaftswissenschaftliche Fakultät
Wirtschaftswissenschaftliche Fakultät / Institut für Betriebswirtschaftslehre
Wirtschaftswissenschaftliche Fakultät / Institut für Betriebswirtschaftslehre / Lehrstuhl für Information Systems und Management
Dewey Decimal Classification:3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
Licence (German):Deutsches Urheberrecht