Jakob Schöffer

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Decision Making

Artificially Intelligent

Empirical Evaluation

Top Venues

Publications

Luca Deck, Astrid Schomäcker, Timo Speith, Jakob Schöffer, Lena Kästner, Niklas Kühl
Mapping the Potential of Explainable Artificial Intelligence (XAI) for Fairness Along the AI Lifecycle. CoRR (2024)
Johannes Jakubik, Jakob Schöffer, Vincent Hoge, Michael Vössing, Niklas Kühl
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making. CoRR (2022)
Jakob Schöffer, Alexander Ritchie, Keziah Naggita, Faidra Monachou, Jessie Finocchiaro, Marc Juárez
Online Platforms and the Fair Exposure Problem Under Homophily. CoRR (2022)
Johannes Jakubik, Jakob Schöffer, Vincent Hoge, Michael Vössing, Niklas Kühl
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making. PKDD/ECML Workshops (1) (2022)
Jakob Schöffer, Niklas Kuehl, Isabel Valera
A Ranking Approach to Fair Classification. COMPASS (2021)
Jakob Schöffer, Yvette Machowski, Niklas Kuehl
A Study on Fairness and Trust Perceptions in Automated Decision Making. CoRR (2021)
Jakob Schöffer, Yvette Machowski, Niklas Kuehl
Perceptions of Fairness and Trustworthiness Based on Explanations in Human vs. Automated Decision-Making. CoRR (2021)
Jakob Schöffer, Niklas Kühl, Isabel Valera
A Ranking Approach to Fair Classification. CoRR (2021)
Jakob Schöffer, Niklas Kuehl
Appropriate Fairness Perceptions? On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems. CSCW Companion (2021)
Jakob Schöffer, Yvette Machowski, Niklas Kuehl
A Study on Fairness and Trust Perceptions in Automated Decision Making. IUI Workshops (2021)
Patrick Hemmer, Niklas Kühl, Jakob Schöffer
Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry. CoRR (2021)
Lucas Baier, Tim Schlör, Jakob Schöffer, Niklas Kühl
Detecting Concept Drift With Neural Network Model Uncertainty. CoRR (2021)
Jakob Schöffer, Niklas Kuehl
Appropriate Fairness Perceptions? On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems. CoRR (2021)
Lucas Baier, Jakob Schöffer, Niklas Kühl
Utilizing Adaptive AI-based Information Systems to Analyze the Effectiveness of Policy Measures in the Fight of COVID-19. ICIS (2020)
Patrick Hemmer, Niklas Kühl, Jakob Schöffer
DEAL: Deep Evidential Active Learning for Image Classification. CoRR (2020)
Lucas Baier, Niklas Kühl, Jakob Schöffer, Gerhard Satzger
Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic. CoRR (2020)
Patrick Hemmer, Niklas Kühl, Jakob Schöffer
DEAL: Deep Evidential Active Learning for Image Classification. ICMLA (2020)