Modern Centaurs: How Humans and AI Systems Interact in Sales Forecasting
Journal
Proceedings of the European Conference on Information Systems
Type
conference paper
Date Issued
2023-06-14
Author(s)
Abstract
Recent achievements of artificial intelligence (AI) have caused organizations to increasingly bring AI capabilities into their core business processes. Such AI-supported business processes often result in human-AI hybrid systems, which consist of an AI system, which performs most of the execution, and humans, who monitor this execution and occasionally provide additional inputs and overrides. Using sales data from Walmart, we conduct an online study to investigate if human supervision can improve upon state-of-the-art AI forecasts. Furthermore, we analyze the perceptions and behavioral intentions of the human participants over time. We find that human interventions consistently lead to less accurate forecasts and that participants initially underestimate the AI system’s accuracy and overestimate their own potential to improve upon AI forecasts. However, perceptions quickly shift over the course of the study, causing the participants to perceive the AI system increasingly favorably, which also leads to behavioral changes and better hybrid system performance.
Language
English (United States)
Keywords
Hybrid intelligence
machine learning
AI-assisted decision making
sales forecasting
HSG Classification
contribution to scientific community
Pages
15
Event Title
European Conference on Information Systems
Event Location
Kristiansand, Norway
Contact Email Address
tobias.fahse@unisg.ch
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ecis23a-sub1109-cam-i7.pdf
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803.16 KB
Format
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