We “demand” to know: is AI really everywhere (in management research)?
Type
conference contribution
Date Issued
2024-09
Author(s)
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Katja Einola
Abstract
Research on Artificial Intelligence (AI) and its use has proliferated (Patra et al., 2024), matching the pace of technological advances in the field of AI and its presence in business. For example, since the release of ChatGPT in November 2022, CEO and CFO mentions of “AI” in earnings calls have skyrocketed from 500 to 30,000+ (Estrada, 2024). While it is encouraging that scholars and top leaders are rising to the occasion and rallying around such an important topic, this rapid, recent, and far-reaching interest in AI across research and practice is also affecting ostensibly unrelated research fields. That is, the hype around AI might have profound, unintended effects on aspects of research that we have not yet considered.
In this discussion piece, we theorize and empirically explore AI demand effects (i.e., the tendency for participants to think that a study is about AI and therefore alter their behaviors). We need to understand these AI demand effects, because they might broadly influence our scientific evidence and interpretations of research related to AI–and beyond.
In this discussion piece, we theorize and empirically explore AI demand effects (i.e., the tendency for participants to think that a study is about AI and therefore alter their behaviors). We need to understand these AI demand effects, because they might broadly influence our scientific evidence and interpretations of research related to AI–and beyond.
Language
English (United States)
HSG Classification
contribution to scientific community
Refereed
Yes
Event Title
Rencontres de St-Gall
Event Location
St.Gallen
Event Date
September 2-4, 2024
Subject(s)
Division(s)