Kumulative Dissertation, Otto-Friedrich-Universität Bamberg, 2026

Von der genannten Lizenzangabe ausgenommen sind folgende Bestandteile dieser Dissertation:
Paper II "A Review of How Different Views on Ethics Shape Perceptions of Morality and Responsibility within AI Transformation" (S. 115-201), Paper IV "How Leaders’ Morality Influences Their Responsibility Perceptions When Relying on Algorithmic Advice" (S. 204-214), Paper V "From Teachers to Cheerleaders? Teachers’ Role Responsibilities in the Age of Generative AI" (S. 216-247), Paper VI "With Great Power Comes Great Responsibility: What Shapes AI Literacy for Responsible Interactions of Knowledge Workers With AI?" (S. 249-284), Paper VIII "Beneficial Mistrust in Generative AI? The Role of AI Literacy in Programmers’ Handling of Bad Coding Advice" (S. 296-326) und Paper X "How Organizations Ethically Respond to Decision Dilemmas in AI Deployment" (S. 339-406) stehen unter der CC-Lizenz CC BY.

Lizenzvertrag: Creative Commons Attribution 4.0
https://creativecommons.org/licenses/by/4.0/

Artificial intelligence (AI) is transforming organizational work and professional roles, creating new opportunities while challenging established notions of responsibility. This cumulative dissertation examines how professionals perceive and assume responsibility when working with AI, how their ability requirements evolve with increasing AI use, and which organizational conditions enable them to navigate its unintended consequences. Across ten theoretical and empirical papers, it provides insights into responsibility attribution, shifts in professional responsibilities, the changing abilities required for human–AI collaboration, and the role of AI literacy and organizational support. In doing so, the dissertation advances a responsibility-oriented perspective on human–AI collaboration and demonstrates how individuals and organizations can leverage AI’s potential without losing sight of the human responsibility its use entails.