Editorial: Toward and Beyond Human-Level AI

Dunin-Barkowski, Witali L.

doi:10.3389/fnbot.2020.617446

Cited by 1 publication

(1 citation statement)

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“…Artificial Intelligence (AI) has been named as one of the most recent, fundamental developments of the convergence in electronic markets (Alt, 2021) and has become an increasingly relevant topic for information systems (IS) research (Abdel-Karim et al, 2021;Alt, 2018). While a large body of literature is concerned with designing AI to mimic and replace humans (Dunin-Barkowski, 2020;Fukuda et al, 2001), IS research in general, and decision support systems (DSS) research in particular, emphasize the support of humans with AI (Arnott & Pervan, 2005). Recent research in hybrid intelligence (HI) and human-AI collaboration offers a promising path in synthesizing AI research across different fields (Dellermann, 2019): The ultimate goal of HI is to leverage the individual advantages of both human and artificial intelligence to enable synergy effects (James & Paul, 2018) and to achieve complementarity (Hemmer et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence and machine learning

et al. 2022

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Within the last decade, the application of “artificial intelligence” and “machine learning” has become popular across multiple disciplines, especially in information systems. The two terms are still used inconsistently in academia and industry—sometimes as synonyms, sometimes with different meanings. With this work, we try to clarify the relationship between these concepts. We review the relevant literature and develop a conceptual framework to specify the role of machine learning in building (artificial) intelligent agents. Additionally, we propose a consistent typology for AI-based information systems. We contribute to a deeper understanding of the nature of both concepts and to more terminological clarity and guidance—as a starting point for interdisciplinary discussions and future research.

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