Implementation and Adoption of Digital Technologies
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Paper Type
Short
Paper Number
2225
Description
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 to influence individuals’ perceptions regard-ing CCS.
Recommended Citation
Welck, Maximilian; Derdak, Ingrid Julia; and Veit, Daniel, "Understanding Individuals’ Perceptions Regarding Cognitive Computing Systems" (2020). ICIS 2020 Proceedings. 11.
https://aisel.aisnet.org/icis2020/implement_adopt/implement_adopt/11
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 to influence individuals’ perceptions regard-ing CCS.
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