Jakob Schöffer

According to our database, Jakob Schöffer authored at least 22 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions.

Jakob Schöffer, Johannes Jakubik, Michael Vössing, Niklas Kühl, Gerhard Satzger

J. Artif. Intell. Res., 2025

2024

"I Want It That Way": Enabling Interactive Decision Support Using Large Language Models and Constraint Programming.

Connor Lawless, Jakob Schoeffer, Lindy Le, Kael Rowan, Shilad Sen, Cristina St. Hill, Jina Suh, Bahareh Sarrafzadeh

ACM Trans. Interact. Intell. Syst., September, 2024

Mapping the Potential of Explainable Artificial Intelligence (XAI) for Fairness Along the AI Lifecycle.

Luca Deck, Astrid Schomäcker, Timo Speith, Jakob Schöffer, Lena Kästner, Niklas Kühl

CoRR, 2024

A Critical Survey on Fairness Benefits of Explainable AI.

Luca Deck, Jakob Schoeffer, Maria De-Arteaga, Niklas Kühl

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making.

Jakob Schoeffer, Maria De-Arteaga, Niklas Kühl

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

A Critical Survey on Fairness Benefits of XAI.

Luca Deck, Jakob Schoeffer, Maria De-Arteaga, Niklas Kühl

CoRR, 2023

Detecting Concept Drift with Neural Network Model Uncertainty.

Lucas Baier, Tim Schlör, Jakob Schoeffer, Niklas Kühl

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making.

Jakob Schoeffer, Johannes Jakubik, Michael Vössing, Niklas Kühl, Gerhard Satzger

Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023

Online Platforms and the Fair Exposure Problem under Homophily.

Jakob Schoeffer, Alexander Ritchie, Keziah Naggita, Faidra Monachou, Jessica Finocchiaro, Marc Juarez

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

On the Relationship Between Explanations, Fairness Perceptions, and Decisions.

Jakob Schoeffer, Maria De-Arteaga, Niklas Kühl

CoRR, 2022

An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making.

Johannes Jakubik, Jakob Schöffer, Vincent Hoge, Michael Vössing, Niklas Kühl

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Perceptions of Fairness and Trustworthiness Based on Explanations in Human vs. Automated Decision-Making.

Jakob Schoeffer, Yvette Machowski, Niklas Kühl

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry.

Patrick Hemmer, Niklas Kühl, Jakob Schoeffer

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

"There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making.

Jakob Schoeffer, Niklas Kühl, Yvette Machowski

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making.

Jakob Schoeffer

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

A Study on Fairness and Trust Perceptions in Automated Decision Making.

Jakob Schöffer, Yvette Machowski, Niklas Kühl

Proceedings of the Joint Proceedings of the ACM IUI 2021 Workshops co-located with 26th ACM Conference on Intelligent User Interfaces (ACM IUI 2021), 2021

A Ranking Approach to Fair Classification.

Jakob Schöffer, Niklas Kühl, Isabel Valera

Proceedings of the COMPASS '21: ACM SIGCAS Conference on Computing and Sustainable Societies, Virtual Event, Australia, 28 June 2021, 2021

Appropriate Fairness Perceptions? On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems.

Jakob Schöffer, Niklas Kühl

Proceedings of the Companion Publication of the 2021 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2021

2020

Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic.

Lucas Baier, Niklas Kühl, Jakob Schöffer, Gerhard Satzger

CoRR, 2020

DEAL: Deep Evidential Active Learning for Image Classification.

Patrick Hemmer, Niklas Kühl, Jakob Schöffer

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Utilizing Adaptive AI-based Information Systems to Analyze the Effectiveness of Policy Measures in the Fight of COVID-19.

Lucas Baier, Jakob Schöffer, Niklas Kühl

Proceedings of the 41st International Conference on Information Systems, 2020

Service Analytics: Putting the "Smart" in Smart Services.

Niklas Kühl, Hansjörg Fromm, Jakob Schöffer, Gerhard Satzger

Proceedings of the Smart Service Management - Design Guidelines and Best Practices, 2020