
M.Sc. Julia Gutschow
- Doctoral Researcher
- Gruppe: Information Systems III
- Sprechstunden: by appointment
- Raum: 3C-04
- Tel.: +49 (721) 608-45542
- julia gutschow ∂does-not-exist.kit edu
Karlsruhe Institute of Technology (KIT)
Institute for Information Systems (WIN)
Kaiserstraße 93
76133 Karlsruhe
Julia Gutschow is a doctoral researcher at the Karlsruhe Institute of Technology (KIT), Germany, and a member of the Information Systems III research group, headed by Prof. Dr. Jella Pfeiffer.
She holds a bachelor's degree in Modern Languages, Cultures and Business (Moderne Fremdsprachen, Kulturen und Wirtschaft) from Justus Liebig University Giessen, with English as a major and French and business administration as minor subjects. In addition, she completed a second bachelor's degree in Business Administration and Economics (Wirtschaftswissenschaften) as well as a master's degree in Business Administration (Betriebswirtschaftslehre) at Justus Liebig University.
She started her doctoral research at the University of Stuttgart under the supervision of Prof. Dr. Jella Pfeiffer and transferred to KIT with her in January 2025
Research Interests
Julia's research is broadly focused on fairness in artificial intelligence. She is particularly interested in the different dimensions that shape users' perceptions of algorithmic fairness and in exploring whether these perceptions align with quantifiable fairness measures, such as commonly used fairness metrics in machine learning. Her research interest lies especially in questions of fairness as they relate to human users, with an emphasis on how AI systems may affect marginalized or disadvantaged groups.
In line with this, her main topics of interest are:
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Norm development and ethical frameworks for the use of AI
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Regulatory approaches to AI, with a focus on the EU AI Act
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Fairness metrics in machine learning and their applicability across contexts
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Methods for identifying and mitigating algorithmic discrimination
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Conditions for fostering fair and trustworthy AI systems, especially from a user perception perspective
Short CV
Education
04/2021 - 06/2024 |
M.Sc. Business Administration (JLU) Master's Thesis: "Racial Bias in NLP Systems: An Intersectional Approach" |
10/2018 - 04/2021 |
B.Sc. Business Administration and Economics (JLU) Bachelor's Thesis: "A Guideline for Fair Machine Learning Algorithms" |
10/2015 - 09/2018 |
B.A. Modern Languages, Cultures, and Business (JLU) Major: English; Minors: French and Business
Bachelor's Thesis: "Assessing the Risks of Persuasive Interrogation Techniques: A Forensic-Linguistic Case Study" |
Relevant Work Experience
01/2025 - today |
Doctoral Researcher at Karlsruhe Institute of Technology (KIT) Institute for Information Systems (WIN), Information Systems III, Prof. Dr. Jella Pfeiffer |
05/2024 - 12/2024 |
Doctoral Researcher at University of Stuttgart Institute of Business Administration, Section 7, Information Systems I, Prof. Dr. Jella Pfeiffer |
03/2019 - 03/2024
Of special note: 09/2021 - 02/2023 |
Student and Research Assistant (JLU) Worked in several chairs within the business administration faculty (BWL VIII, XI, XII) and the Institute for English Linguistics.
Research Assistant in the ZEVEDI Project "Regulatory theories of Artificial Intelligence" |
Teaching
Teaching before KIT
- Tutorial in "Data Science for Customer Data" (University of Stuttgart)
- Tutorial in "Applied AI and Upcoming Technologies in Industries (University of Stuttgart)
Teaching at KIT
Semester | Degree Level | Title | Format | Lecturer(s) |
---|---|---|---|---|
SS 2025 | Master | Master Seminar: Trustworthy AI | Seminar | |
SS 2025 | Master | Data Science for Business (formerly "Business Data Analytics and Tools") | Lecture & Exercise |
Prof. Dr. Jella Pfeiffer (Lecture) Julia Gutschow (Exercise) Dr. Pascal Heßler (Case Study) |
Open Thesis Topics
Format | Degree Level | Open Topics | Supervisor(s) |
---|---|---|---|
Thesis | Master | Benchmarking Fairness Toolkits for AI Bias Detection and Mitigation | |
Thesis | Master | Assessment Frameworks for Trustworthy AI: A Systematic Literature Review |
Publications
Pfeiffer, J.; Gutschow, J.; Haas, C.; Möslein, F.; Maspfuhl, O.; Borgers, F.; Alpsancar, S.
2023. Business & Information Systems Engineering, 65 (2), 209–222. doi:10.1007/s12599-023-00787-x