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07/06/2023
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts
Information systems increasingly leverage artificial intelligence (AI) a...
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05/12/2023
ML-Based Teaching Systems: A Conceptual Framework
As the shortage of skilled workers continues to be a pressing issue, exa...
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04/18/2023
On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making
In AI-assisted decision-making, a central promise of putting a human in ...
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03/28/2023
Enabling Inter-organizational Analytics in Business Networks Through Meta Machine Learning
Successful analytics solutions that provide valuable insights often hing...
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03/16/2023
Human-AI Collaboration: The Effect of AI Delegation on Human Task Performance and Task Satisfaction
Recent work has proposed artificial intelligence (AI) models that can le...
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02/07/2023
Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series
Detecting rare events is essential in various fields, e.g., in cyber sec...
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02/04/2023
Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations
AI advice is becoming increasingly popular, e.g., in investment and medi...
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12/22/2022
Data-centric Artificial Intelligence
Data-centric artificial intelligence (data-centric AI) represents an eme...
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06/16/2022
Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts
Machine learning (ML) models are increasingly being used in application ...
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05/03/2022
On the Effect of Information Asymmetry in Human-AI Teams
Over the last years, the rising capabilities of artificial intelligence ...
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04/19/2022
On the Influence of Explainable AI on Automation Bias
Artificial intelligence (AI) is gaining momentum, and its importance for...
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04/14/2022
Should I Follow AI-based Advice? Measuring Appropriate Reliance in Human-AI Decision-Making
Many important decisions in daily life are made with the help of advisor...
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09/28/2021
Intelligent Decision Assistance Versus Automated Decision-Making: Enhancing Knowledge Work Through Explainable Artificial Intelligence
While recent advances in AI-based automated decision-making have shown m...
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01/14/2021
Needmining: Designing Digital Support to Elicit Needs from Social Media
Today's businesses face a high pressure to innovate in order to succeed ...
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12/04/2020
Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic
As a reaction to the high infectiousness and lethality of the COVID-19 v...
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11/05/2020
Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets
Machine learning models nowadays play a crucial role for many applicatio...
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05/15/2020
How to Learn from Others: Transfer Machine Learning with Additive Regression Models to Improve Sales Forecasting
In a variety of business situations, the introduction or improvement of ...
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04/01/2020
Handling Concept Drifts in Regression Problems – the Error Intersection Approach
Machine learning models are omnipresent for predictions on big data. One...
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03/27/2020
Machine Learning in Artificial Intelligence: Towards a Common Understanding
The application of "machine learning" and "artificial intelligence" has ...
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03/12/2020