Project studies/work (e.g., WI000684), research internships (e.g., MCTS0047, POL30001) in "AI chatbots in healthcare: Ethical considerations".

22.07.2025, Abschlussarbeiten, Bachelor- und Masterarbeiten

The Chair of Business Ethics and the Institute for Ethics in AI (Prof. Dr. Christoph Lütge) offers project studies/work (e.g., WI000684), research internships (e.g., MCTS0047, POL30001) in the following areas: AI chatbots in healthcare: Ethical considerations Background. As AI-empowered decision-support systems become more widespread and accessible to the public, individuals are increasingly delegating their decisions to these tools, including those involving ethical considerations, such as decisions in healthcare. For example, algorithms can guide the allocation of scarce medical resources, such as donated organs (Meier et al., 2022). ChatGPT, specifically, has demonstrated promise in improving triage accuracy in emergency departments (Kaboudi et al., 2024) and can serve as a personal therapist by delivering mental health support to individuals in real-time (Alanezi, 2024). This growing integrating into highly sensitive and personal decision-making brings substantial societal implications and risks, such as emerging responsibility gaps, the reinforcement of existing biases, limitations on data privacy, or moral deskilling (e.g., Hagendorff, 2024; Poszler & Lange, 2024). Goal & tasks. During the project work, students will concentrate on tasks related to the use of AI chatbots in decision-making processes within triage and mental health contexts. Potential tasks may include: • Networking and partner identification: Locating leading researchers, professionals, practitioners, technology companies, and startups active in the field • Literature review: Systematically identifying key publications and synthesizing the current state of research • Qualitative research: Supporting the design, execution, and analysis of semi-structured interviews and focus groups Student Profile. • Bachelor or Master level • Any disciplines and departments/schools (Please verify with your school if they permit supervision by us/TUM SOT) • Proficiency in English • Skills and/or strong interest in any of the following fields: artificial intelligence, LLMs and AI chatbots, ChatGPT, AI ethics, medical ethics, healthcare (specifically, triage and mental health), moral psychology, qualitative or quantitative research. Details. Supervisor: Dr. Franziska Poszler Starting date: as soon as possible Time commitment: flexible: Full-time or part-time How to apply. If you are interested, please send your CV along with your module number and earliest possible start date to Dr. Franziska Poszler (franziska.poszler@tum.de). We are looking forward to your application!

The Chair of Business Ethics and the Institute for Ethics in AI (Prof. Dr. Christoph Lütge) offers project studies/work (e.g., WI000684), research internships (e.g., MCTS0047, POL30001) in the following areas:

AI chatbots in healthcare: Ethical considerations

Background.
As AI-empowered decision-support systems become more widespread and accessible to the public, individuals are increasingly delegating their decisions to these tools, including those involving ethical considerations, such as decisions in healthcare. For example, algorithms can guide the allocation of scarce medical resources, such as donated organs (Meier et al., 2022). ChatGPT, specifically, has demonstrated promise in improving triage accuracy in emergency departments (Kaboudi et al., 2024) and can serve as a personal therapist by delivering mental health support to individuals in real-time (Alanezi, 2024).

This growing integrating into highly sensitive and personal decision-making brings substantial societal implications and risks, such as emerging responsibility gaps, the reinforcement of existing biases, limitations on data privacy, or moral deskilling (e.g., Hagendorff, 2024; Poszler & Lange, 2024).


Goal & tasks.
During the project work, students will concentrate on tasks related to the use of AI chatbots in decision-making processes within triage and mental health contexts. Potential tasks may include:
• Networking and partner identification: Locating leading researchers, professionals, practitioners, technology companies, and startups active in the field
• Literature review: Systematically identifying key publications and synthesizing the current state of research
• Qualitative research: Supporting the design, execution, and analysis of semi-structured interviews and focus groups

Student Profile.
• Bachelor or Master level
• Any disciplines and departments/schools (Please verify with your school if they permit supervision by us/TUM SOT)
• Proficiency in English
• Skills and/or strong interest in any of the following fields: artificial intelligence, LLMs and AI chatbots, ChatGPT, AI ethics, medical ethics, healthcare (specifically, triage and mental health), moral psychology, qualitative or quantitative research.

Details.
Supervisor: Dr. Franziska Poszler
Starting date: as soon as possible
Time commitment: flexible: Full-time or part-time

How to apply.
If you are interested, please send your CV along with your module number and earliest possible start date to Dr. Franziska Poszler (franziska.poszler@tum.de).

We are looking forward to your application!

Kontakt: franziska.poszler@tum.de

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