Jakob Schöffer

20 papers C 3Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions.
J. Artif. Intell. Res.
Jakob Schöffer, Johannes Jakubik, Michael Vössing, Niklas Kühl, Gerhard Satzger
2024 J jnl
Mapping the Potential of Explainable Artificial Intelligence (XAI) for Fairness Along the AI Lifecycle.
CoRR
Luca Deck, Astrid Schomäcker, Timo Speith, Jakob Schöffer, Lena Kästner, Niklas Kühl
2024 — conf
Mapping the Potential of Explainable Artificial Intelligence (xai) for Fairness Along the Ai Lifecycle.
EWAF
Luca Deck, Astrid Schomäcker, Timo Speith, Jakob Schöffer, Lena Kästner, Niklas Kühl
2022 — conf
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making.
PKDD/ECML Workshops (1)
Johannes Jakubik, Jakob Schöffer, Vincent Hoge, Michael Vössing, Niklas Kühl
2022 J jnl
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making.
CoRR
Johannes Jakubik, Jakob Schöffer, Vincent Hoge, Michael Vössing, Niklas Kühl
2022 J jnl
Online Platforms and the Fair Exposure Problem Under Homophily.
CoRR
Jakob Schöffer, Alexander Ritchie, Keziah Naggita, Faidra Monachou, Jessie Finocchiaro, Marc Juarez
2021 C conf
A Ranking Approach to Fair Classification.
COMPASS
Jakob Schöffer, Niklas Kühl, Isabel Valera
2021 J jnl
A Ranking Approach to Fair Classification.
CoRR
Jakob Schöffer, Niklas Kühl, Isabel Valera
2021 — conf
A Study on Fairness and Trust Perceptions in Automated Decision Making.
IUI Workshops
Jakob Schöffer, Yvette Machowski, Niklas Kühl
2021 J jnl
A Study on Fairness and Trust Perceptions in Automated Decision Making.
CoRR
Jakob Schöffer, Yvette Machowski, Niklas Kühl
2021 — conf
Appropriate Fairness Perceptions? On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems.
CSCW Companion
Jakob Schöffer, Niklas Kühl
2021 J jnl
Appropriate Fairness Perceptions? On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems.
CoRR
Jakob Schöffer, Niklas Kühl
2021 J jnl
Detecting Concept Drift With Neural Network Model Uncertainty.
CoRR
Lucas Baier, Tim Schlör, Jakob Schöffer, Niklas Kühl
2021 J jnl
Perceptions of Fairness and Trustworthiness Based on Explanations in Human vs. Automated Decision-Making.
CoRR
Jakob Schöffer, Yvette Machowski, Niklas Kühl
2021 J jnl
Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry.
CoRR
Patrick Hemmer, Niklas Kühl, Jakob Schöffer
2020 C conf
DEAL: Deep Evidential Active Learning for Image Classification.
ICMLA
Patrick Hemmer, Niklas Kühl, Jakob Schöffer
2020 J jnl
DEAL: Deep Evidential Active Learning for Image Classification.
CoRR
Patrick Hemmer, Niklas Kühl, Jakob Schöffer
2020 — ch.
Service Analytics: Putting the "Smart" in Smart Services.
Smart Service Management
Niklas Kühl, Hansjörg Fromm, Jakob Schöffer, Gerhard Satzger
2020 C conf
Utilizing Adaptive AI-based Information Systems to Analyze the Effectiveness of Policy Measures in the Fight of COVID-19.
ICIS
Lucas Baier, Jakob Schöffer, Niklas Kühl
2020 J jnl
Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic.
CoRR
Lucas Baier, Niklas Kühl, Jakob Schöffer, Gerhard Satzger