Jun.-Prof. Heinrich

Jun.-Prof. Dr. Kai Heinrich

Fakultät für Wirtschaftswissenschaft (FWW)
Juniorprofessur für Data-Driven Decision Support
Universitätsplatz 2, 39106 Magdeburg, G22E-116
Vita

Since 04/2021

Assistant professor for Data-driven Decision Support at OVGU Magdeburg

02/2017-03/2021

Post Doc at TU-Dresden

07/2011-02/2017

Scientific Assistant at TU-Dresden

06/2012-08/2014

Lecturer at Dresden International University

10/2007-06/2011

Student assistant at TU-Dresden

6/2004

High school degree at Gymnasium Coswig

Projekte

Keine Projekte im Forschungsportal hinterlegt.

Eintrag im Forschungsportal ansehen.

Publikationen

2022

Begutachteter Zeitschriftenartikel

Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability

Herm, Lukas-Valentin; Heinrich, Kai; Wanner, Jonas; Janiesch, Christian

In: International journal of information management - Kidlington: Elsevier : Pergamon . - 2022

Begutachteter Zeitschriftenartikel

The effect of transparency and trust on intelligent system acceptance - evidence from a user-based study

Wanner, Jonas; Herm, Lukas-Valentin; Heinrich, Kai; Janiesch, Christian

In: Electronic markets - Berlin: Springer . - 2022, insges. 24 S.

Artikel in Kongressband

Algorithms as a manager - a critical literature review of algorithm management

Heinrich, Kai; Vu, Minh Anh; Vysochyna, Anastasiia

In: Digitization for the next generation - New York: Elsevier . - 2022

Nicht begutachteter Zeitschriftenartikel

Where was COVID-19 first discovered? - designing a question-answering system for pandemic situations

Graf, Johannes; Lancho, Gino; Zschech, Patrick; Heinrich, Kai

In: De.arxiv.org - [S.l.]: Arxiv.org . - 2022, insges. 19 S.

2021

Buchbeitrag

Deep Learning in der Landwirtschaft - Analyse eines Weinbergs

Zschech, Patrick; Heinrich, Kai; Möller, Björn; Breithaupt, Lukas; Maresch, Johannes; Roth, Andreas

In: Big Data Analytics - Wiesbaden: Springer Vieweg; D'Onofrio, Sara *1989-* . - 2021, S. 169-194

Buchbeitrag

Adoption barriers of AI - a context-specific acceptance model for industrial maintenance

Wanner, Jonas; Popp, Laurell; Fuchs, Kevin; Heinrich, Kai; Herm, Lukas-Valentin; Janiesch, Christian

In: ECIS 2021 research-in-progress papers - [Erscheinungsort nicht ermittelbar]: Association for Information Systems,, 2021, paper number 1601

Buchbeitrag

Stop ordering machine learning algorithms by their explainability! - an empirical investigation of the tradeoff between performance and explainability

Wanner, Jonas; Herm, Lukas-Valentin; Heinrich, Kai; Janiesch, Christian

In: Responsible AI and Analytics for an Ethical and Inclusive Digitized Society - Cham: Springer International Publishing; Dennehy, Denis . - 2021, S. 245-258 - ( Lecture notes in computer science; volume 12896)

Begutachteter Zeitschriftenartikel

Machine learning and deep learning

Janiesch, Christian; Zschech, Patrick; Heinrich, Kai

In: Electronic markets - Berlin: Springer . - 2021, insges. 11 S.

Begutachteter Zeitschriftenartikel

Process data properties matter - introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning

Heinrich, Kai; Zschech, Patrick; Janiesch, Christian; Bonin, Markus

In: Decision support systems - Amsterdam [u.a.]: Elsevier, Bd. 143 (2021), insges. 14 S.

Begutachteter Zeitschriftenartikel

A social evaluation of the perceived goodness of explainability in machine learning

Wanner, Jonas; Herm, Lukas-Valentin; Heinrich, Kai; Janiesch, Christian

In: Journal of business analytics - London: Taylor & Francis Group . - 2021, insges. 22 S.

Nicht begutachteter Zeitschriftenartikel

A picture is worth a collaboration - accumulating design knowledge for computer-vision-based hybrid intelligence systems

Zschech, Patrick; Walk, Jannis; Heinrich, Kai; Vössing, Michael; Kühl, Niklas

In: De.arxiv.org - [S.l.] : Arxiv.org . - 2021, Artikel 2104.11600, insges. 17 S.

Profil
  • Artificial Intelligence
  • Algorithmic Aversion
  • Technology Acceptance
  • Deep Learning
  • Reinforcement Learning
  • XAI
  • Fairness in AI-based systems
  • Adversarial Learning
  • Decision Theory
  • Statistics
Service
Keine Daten im Forschungsportal hinterlegt.
Presse
Keine Daten im Forschungsportal hinterlegt.

Letzte Änderung: 31.07.2023 - Ansprechpartner: Webmaster