Philipp Reinhard

According to our database, Philipp Reinhard authored at least 16 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Identifying and Mitigating Risks Emerging from Uncertainty in AI Agents: A Stakeholder-Centered, Scenario-Based Approach.

David Sonnabend, Philipp Reinhard, Mahei Manhai Li

Proceedings of the 59th Hawaii International Conference on System Sciences, 2026

Evaluating and Improving Prompt Quality in LLM-Based Assistants: A Synthesis of Criteria and Indicators.

Philipp Reinhard, Vladimir Sajzev, Mahei Manhai Li, Jan Marco Leimeister

Proceedings of the 59th Hawaii International Conference on System Sciences, 2026

Design Features for Explainable Generative AI (GenXAI) Systems in Knowledge-Intensive Service Work.

Philipp Reinhard, Mahei Manhai Li, Matteo Fina, Christoph Peters, Jan Marco Leimeister

Proceedings of the 59th Hawaii International Conference on System Sciences, 2026

2025

Integrating Brand Identity Into AI-Based Conversational Agents: A Systematic Literature Review.

Angelia Dittmar, Philipp Reinhard, Mahei Manhai Li, Fabian Karst, Jan Marco Leimeister

Proceedings of the 58th Hawaii International Conference on System Sciences, 2025

Event Log Construction from Multimodal Data - a Reference Architecture for Exploiting Process Mining in IT Service Management.

Philipp Reinhard, Annina Liessmann, Sven Weinzierl, Sandra Zilker, Mahei Manhai Li, Martin Matzner, Jan Marco Leimeister

Proceedings of the 33rd European Conference on Information Systems, 2025

Rethinking AI Design Practices: A Reference Architecture for Generative AI Systems.

Marc Christopher Grau, Philipp Reinhard, Ingrid Bauer-Hänsel, Ivo Blohm

Proceedings of the 33rd European Conference on Information Systems, 2025

GenAI-CoP: A Reusable Co-creation Process for Identifying Generative AI Agents.

Philipp Reinhard, Mahei Manhai Li, Sarah Oeste-Reiß, Ulrich Bretschneider

Proceedings of the Local Solutions for Global Challenges, 2025

Fact or Fiction? Exploring Explanations to Identify Factual Confabulations in RAG-Based LLM Systems.

Philipp Reinhard, Mahei Manhai Li, Matteo Fina, Jan Marco Leimeister

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

2024

A Value Co-Creation Perspective on Data Labeling in Hybrid Intelligence Systems: A Design Study.

Mahei Manhai Li, Philipp Reinhard, Christoph Peters, Sarah Oeste-Reiss, Jan Marco Leimeister

Inf. Syst., February, 2024

Augmentation through Generative AI: Exploring the Effects of Human-AI Interaction and Explainable AI on Service Performance.

Philipp Reinhard

Proceedings of the Mensch und Computer 2024, 2024

Generative AI in Customer Support Services: A Framework for Augmenting the Routines of Frontline Service Employees.

Philipp Reinhard, Mahei Manhai Li, Christoph Peters, Jan Marco Leimeister

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

Let Employees Train Their Own Chatbots: Design of Generative AI-Enabled Delegation Systems.

Philipp Reinhard, Mahei Manhai Li, Christoph Peters, Jan Marco Leimeister

Proceedings of the 32nd European Conference on Information Systems, 2024

Augmenting Frontline Service Employee Onboarding via Hybrid Intelligence: Examining the Effects of Different Degrees of Human-GenAI Interaction.

Philipp Reinhard, Nicolas Neis, Lisa Kolb, Dennis Wischer, Mahei Manhai Li, Axel Winkelmann, Frank Teuteberg, Ulrike Lechner, Jan Marco Leimeister

Proceedings of the Design Science Research for a Resilient Future, 2024

2023

Broadening the perspective for sustainable AI: Comprehensive sustainability criteria and indicators for AI systems.

Friederike Rohde, Josephin Wagner, Andreas Meyer, Philipp Reinhard, Marcus Voss, Ulrich Petschow

CoRR, 2023

A Conceptual Model for Labeling in Reinforcement Learning Systems: A Value Co-creation Perspective.

Philipp Reinhard, Mahei Manhai Li, Ernestine Dickhaut, Cornelius Reh, Christoph Peters, Jan Marco Leimeister

Proceedings of the Design Science Research for a New Society: Society 5.0, 2023

Empowering Recommender Systems in ITSM: A Pipeline Reference Model for AI-Based Textual Data Quality Enrichment.

Philipp Reinhard, Mahei Manhai Li, Ernestine Dickhaut, Christoph Peters, Jan Marco Leimeister

Proceedings of the Design Science Research for a New Society: Society 5.0, 2023