Moritz von Zahn

Moritz von Zahn is a leading expert in applied data science at Tomorrow University, specializing in causal machine learning, explainable AI, and algorithmic fairness. With a strong academic foundation forged through collaborations with institutions like Goethe University Frankfurt, ETH Zurich, and the University of Tel Aviv, he merges innovative research with practical applications. Moritz’s extensive experience spans publishing in high-impact journals, reviewing for major conferences, and contributing to transformative projects with companies such as Swisscom AG, Payback GmbH, and McKinsey & Company. His work empowers learners and industry alike to harness the potential of AI responsibly and effectively.

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Previously worked for:

Goethe University, Boston University, ETH Zürich, McKinsey & Company, Karlsruher Institut für Technologie (KIT), Bosch Connected Industry

Courses taught on:

Degree Programs
COLLAPSE
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Impact MBA

Impact Master Of Science

Impact Bachelor of Science

Impact Bachelor of Arts

Skills you can learn

Causal Machine Learning

Explainable AI

Algorithmic Fairness

Human-AI Collaboration

Ethical AI Deployment

Feature Selection Methods

Digital Footprint Analysis

Predictive Analytics

Transparent AI Design

Algorithm Development

Decision Support Systems

Green Nudges in AI

Data Science Fundamentals

Predictive Maintenance Strategies

Research Methodologies

Data Visualization

Peer-Review Processes

AI Ethics

E-Commerce Optimization

Academic Writing

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Research Profile

Key research areas and highlights.

Moritz von Zahn’s research focuses on advancing ethical and applied AI, emphasizing causal inference, explainable artificial intelligence (XAI), and algorithmic fairness. He explores how AI can address real-world challenges, such as optimizing e-commerce operations, developing predictive maintenance systems, and mitigating disparities in machine learning models. His collaborations with institutions like ETH Zurich and the University of Tel Aviv have yielded groundbreaking insights into human-AI collaboration, user-centric system design, and the ethical implications of AI deployment. Through peer-reviewed publications and ongoing projects, Moritz drives innovation that balances technological advancement with societal responsibility.

Research

The cost of fairness in AI: Evidence from e-commerce M von Zahn, S Feuerriegel, N Kuehl Business & Information Systems Engineering 64, 335–348, 2022

Expl(AI)ned: The impact of explainable artificial intelligence on users' information processing K Bauer, M von Zahn, O Hinz Information Systems Research, forthcoming, 2023

Designing a feature selection method based on explainable artificial intelligence J Zacharias, M von Zahn, J Chen, O Hinz Electronic Markets 32 (4), 2159-2184, 2022

Towards designing a user-centric decision support system for predictive maintenance in SMEs D Kellner, M Lowin, M von Zahn, J Chen INFORMATIK 2021

Locating disparities in machine learning M von Zahn, O Hinz, S Feuerriegel arXiv preprint arXiv:2208.06680, 2022

Please Take Over: XAI, Delegation of Authority, and Domain Knowledge K Bauer, M von Zahn, O Hinz SAFE Working Paper, 2023

The smart green nudge: Reducing product returns through enriched digital footprints & causal machine learning M von Zahn, K Bauer, C Mihale-Wilson, J Jagow, M Speicher, O Hinz SAFE Working Paper

Organizational & Editorship Activities

Reviewing

Reviewer for Conferences:

International Conference of Information Systems (ICIS), European Conference of Information Systems (ECIS), Wirtschaftsinformatik (WI)

Reviewer for Journals:

Business & Information Systems Engineering (BISE)

Other

Invited research talks at: University of Cologne, University of Zurich, LMU Munich, TU Clausthal, Karlsruhe Institute of Technology (KIT), University of Tel Aviv

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