Hammerschmidt, TeresaTeresaHammerschmidt0000-0003-2164-38252026-01-122026-01-122026https://fis.uni-bamberg.de/handle/uniba/109667Kumulative Dissertation, Otto-Friedrich-Universität Bamberg, 2024 Von der genannten Lizenzangabe ausgenommen sind folgende Bestandteile dieser Dissertation: Paper I "A Review of How Different Views on Ethics Shape Perceptions of Morality and Responsibility within AI Transformation" (S. X-CXXI), Paper VII "Navigating the Nexus of Ethical Standards and Moral Values" (S. CCXC-CCCXXII) und Paper IX "How Organizations Ethically Respond to Decision Dilemmas in AI Deployment" (S. CCCLXXVIII-CDXLIV) stehen unter der CC-Lizenz CC BY. Lizenzvertrag: Creative Commons Namensnennung 4.0 https://creativecommons.org/licenses/by/4.0/ Paper III "AI Narratives: What Can They Tell Us About Individuals’ AI Literacy and Emotional Attitude Toward AI Assistants?" (S. CXL-CXLIX), Paper VI "Ethical Management of Human-AI Interaction: A Theory Development Review" (S. CLXXVII-CCLXXXVIII), Paper VIII "Bridging the Gap: Inequalities that Divide Those Who Can and Cannot Create Sustainable Outcomes with AI" (S. CCCXXIV-CCCLXXVI) und Paper X "How Conversational Agents Influence Purchase Decisions of Online Fashion Shoppers Toward Sustainable Consumption: Exploring Nudges for Green Decision-Making" (S. CDXLVI-CDLV) stehen unter der CC-Lizenz CC BY-NC-ND. Lizenzvertrag: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 https://creativecommons.org/licenses/by-nc-nd/4.0/Given the increasing autonomy and self-learning capabilities of artificial intelligence (AI) technologies, and the way these developments challenge established perspectives on human and artificial (moral) -agency, this dissertation investigates how ethics can be understood in human–AI interaction and how such interactions can be managed ethically in organizational contexts. Based on a combination of systematic literature reviews and empirical investigations, it addresses two central research questions: How do human perceptions and the capabilities of both humans and AI influence ethical human–AI interaction? and How can we understand the ethical management of human–AI interaction? Drawing on the lens of sociomateriality, the dissertation integrates weak and strong notions of sociomaterial entanglement with normative ethical theories—primarily deontology, utilitarianism, and virtue ethics. In doing so, it offers a conceptualization that connects ethics with sociomateriality discourse in times of a changing nature of human–AI interaction. The work contributes to a deeper understanding of human and artificial (moral) agency in human–AI interaction and outlines pathways for the ethical management of human-AI interaction in organizations.engAI EthicsHuman-AI InteractionStrategic ManagementAI Deployment in OrganizationsAmbidexterityAI Literacy004doctoralthesisurn:nbn:de:bvb:473-irb-109667x