Jakob Schöffer

Computer Science · Physical Sciences

5h-index66citations15works4.52yr avg
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Research Topics

Explainable Artificial Intelligence (XAI)(4), Ethics and Social Impacts of AI(3), COVID-19 diagnosis using AI(3), Machine Learning and Algorithms(3), Machine Learning and Data Classification(3)

Publications15 total

AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions
Journal of Artificial Intelligence Research·2025· 6 citedOpen Access
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle
arXiv (Cornell University)·2024· 3 citedOpen Access
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making
Communications in computer and information science·2023· 7 cited
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making
arXiv (Cornell University)·2022· 1 citedOpen Access
Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences·2022· 2 citedOpen Access
DEAL: Deep Evidential Active Learning for Image Classification
Advances in intelligent systems and computing·2021· 20 cited
Utilizing Active Machine Learning for Quality Assurance: A Case Study of\n Virtual Car Renderings in the Automotive Industry
arXiv (Cornell University)·2021Open Access
Detecting Concept Drift With Neural Network Model Uncertainty
arXiv (Cornell University)·2021· 14 citedOpen Access
A Study on Fairness and Trust Perceptions in Automated Decision Making
Repository KITopen (Karlsruhe Institute of Technology)·2021· 2 citedOpen Access
Utilizing Adaptive AI-based Information Systems to Analyze the Effectiveness of Policy Measures in the Fight of COVID-19
Journal of the Association for Information Systems·2020· 2 cited
Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic
arXiv (Cornell University)·2020· 1 citedOpen Access
DEAL: Deep Evidential Active Learning for Image Classification
2020· 8 cited
DEAL: Deep Evidential Active Learning for Image Classification
arXiv (Cornell University)·2020Open Access
Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic
Repository KITopen (Karlsruhe Institute of Technology)·2020Open Access
Service Analytics: Putting the “Smart” in Smart Services
2020

Frequent Co-authors

Niklas Kühl(14), Patrick Hemmer(4), Lucas Baier(4), Gerhard Satzger(4), Johannes Jakubik(3), Michael Vössing(3), Vincent Hoge(2), Tim Schlör(1), Luca Deck(1), Astrid Schomäcker(1), Timo Speith(1), Lena Kästner(1), Yvette Machowski(1), Niklas Kuehl(1), Patrick Hemmer(1), Hansjörg Fromm(1)