42 citations · 114 across the 14 of their papers we have counts for
14 papers
What Clinicians Need: Designing, Developing and Evaluating an AI-Based Decision Support System for Autism Assessment
Ulrike Schäfer, William Saakyan, Matthias Norden +5
AI methods promise to support autism spectrum condition (ASC) diagnostics in adults, a complex and time-consuming process, that is characterized by a shortage of specialized clinic…
Designing Value-Centered Consent Interfaces: A Mixed-Methods Approach to Support Patient Values in Data-Sharing Decisions
David Leimstädtner, Peter Sörries, Claudia Müller-Birn
In the digital health domain, ethical data collection practices are crucial for ensuring the availability of quality datasets that drive medical advancement. Data donation, allowin…
Identifying Explanation Needs of End-users: Applying and Extending the XAI Question Bank
Lars Sipos, Ulrike Schäfer, Katrin Glinka +1
Explanations in XAI are typically developed by AI experts and focus on algorithmic transparency and the inner workings of AI systems. Research has shown that such explanations do n…
Critical-Reflective Human-AI Collaboration: Exploring Computational Tools for Art Historical Image Retrieval
Katrin Glinka, Claudia Müller-Birn
Just as other disciplines, the humanities explore how computational research approaches and tools can meaningfully contribute to scholarly knowledge production. We approach the des…
"Am I Private and If So, how Many?" - Communicating Privacy Guarantees of Differential Privacy with Risk Communication Formats
Daniel Franzen, Saskia Nuñez von Voigt, Peter Sörries +2
Decisions about sharing personal information are not trivial, since there are many legitimate and important purposes for such data collection, but often the collected data can reve…
Unfolding Values through Systematic Guidance: Conducting a Value-Centered Participatory Workshop for a Patient-Oriented Data Donation
David Leimstädtner, Peter Sörries, Claudia Müller-Birn
Routinely collected clinical patient data posits a valuable resource for data-driven medical innovation. Such secondary data use for medical research purposes is dependent on the p…