Anne-Kathrin Kleine
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New position: Interim Professor of Organizational Psychology at TU Dresden

In the winter term 2026/27, I am Interim Professor (W2) of Organizational Psychology at TU Dresden – returning to the university where I studied psychology.

By Anne-Kathrin Kleine in news

October 1, 2026

Doctor, meet AI: How AI systems influence human decision-making in healthcare

In a contribution to In-Mind Magazine’s special issue on artificial intelligence, we explain for a broad audience how AI is changing medical decision-making – and why calibrated trust and human oversight are key.

By Anne-Kathrin Kleine in artificial intelligence healthcare science communication

August 31, 2026

Does it matter how your doctor uses AI? Patient trust in AI-supported medical decisions

Two preregistered experiments with over 1,000 participants show that patients trust a physician less when the AI suggests a diagnosis than when it merely highlights information – unless the physician forms an independent judgment first.

By Anne-Kathrin Kleine in artificial intelligence healthcare trust experiments

August 21, 2026

Training future psychotherapists with AI-enabled virtual patients: A randomized study

Practising with AI-enabled virtual patients improved perceived competence and self-efficacy and reduced insecurity among future psychotherapists – but not more than watching role-play videos. Our randomized study in BMC Medical Education.

By Anne-Kathrin Kleine in artificial intelligence education psychotherapy training experiments

July 15, 2026

When do researchers trust AI? Trust, accuracy, and experience in the use of generative AI

Researchers who perceive generative AI as accurate trust it more and therefore intend to use it more. But trust matters mostly for novices: the more experienced researchers are, the less their intentions depend on trust. Two studies with 402 researchers.

By Anne-Kathrin Kleine in artificial intelligence generative AI trust research practice

April 20, 2026

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Blog

Short, accessible summaries of my research – what we did, what we found, and what it means – plus occasional news. Topics include human–AI interaction in healthcare, AI in research and education, meta-analysis and research methods, thriving and careers at work, and entrepreneurship.

I embrace the values of openness and transparency in science. Open materials, data, and code increase the informational value and credibility of research, because results can be verified, reanalyzed, and synthesized in future studies. For this reason, I signed the Commitment to Research Transparency and the Peer Reviewers’ Openness Initiative, and I serve as a recommender at PCI Registered Reports.

The full list of publications is on the publications page.

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