Markus Langer

What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research

2021 · 546 Zit. · Artificial Intelligence

What to expect from opening up ‘black boxes’? Comparing perceptions of justice between human and automated agents

2021 · 101 Zit. · Computers in Human Behavior

Introducing a multi-stakeholder perspective on opacity, transparency and strategies to reduce opacity in algorithm-based human resource management

2021 · 97 Zit. · Human Resource Management Review

Psychology Meets Machine Learning: Interdisciplinary Perspectives on Algorithmic Job Candidate Screening

2018 · 97 Zit. · ˜The œSpringer series on challenges in machine learning

How do we assess the trustworthiness of AI? Introducing the trustworthiness assessment model (TrAM)

2025 · 27 Zit. · Computers in Human Behavior

Justice, trust, and moral judgements when personnel selection is supported by algorithms

2023 · 26 Zit. · European Journal of Work and Organizational Psychology

A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI)

2023 · 17 Zit.

Trust in Artificial Intelligence: Comparing trust processes between human and automated trustees in light of unfair bias

2021 · 14 Zit.

Introduction to the Special Issue on Advanced Technologies in Assessment: A Science-Practice Concern

2020 · 10 Zit. · Personnel Assessment and Decisions

Künstliche Intelligenz in eignungsdiagnostischen Interviews

2023 · 4 Zit.

Wie vertrauenswürdig ist künstliche Intelligenz?

2023 · 1 Zit. · Die Innere Medizin

AI CHAOS! 1st Workshop on the Challenges for Human Oversight of AI Systems

2026 · 1 Zit.

Trustworthy enough? Examining trustworthiness assessments of large language model-based medical agents.

2025 · 0 Zit. · Technology Mind and Behavior

Personalizing explanations in AI-based decisions: The effects of personalization and (mis)aligning with individual preferences

2025 · 0 Zit. · Computers in Human Behavior

Leveraging Actionable Explanations to Improve People’s Reactions to AI-Based Decisions

2024 · 0 Zit. · Lecture notes in computer science