102 citations · 102 across the 4 of their papers we have counts for
4 papers
Transparent NLP: Using RAG and LLM Alignment for Privacy Q&A
Anna Leschanowsky, Zahra Kolagar, Erion Çano +4
The transparency principle of the General Data Protection Regulation (GDPR) requires data processing information to be clear, precise, and accessible. While language models show pr…
Expert-Generated Privacy Q&A Dataset for Conversational AI and User Study Insights
Anna Leschanowsky, Farnaz Salamatjoo, Zahra Kolagar +1
Conversational assistants process personal data and must comply with data protection regulations that require providers to be transparent with users about how their data is handled…
Evaluating Privacy, Security, and Trust Perceptions in Conversational AI: A Systematic Review
Anna Leschanowsky, Silas Rech, Birgit Popp +1
Conversational AI (CAI) systems which encompass voice- and text-based assistants are on the rise and have been largely integrated into people's everyday lives. Despite their widesp…
Experts-in-the-Loop: Establishing an Effective Workflow in Crafting Privacy Q&A
Zahra Kolagar, Anna Katharina Leschanowsky, Birgit Popp
Privacy policies play a vital role in safeguarding user privacy as legal jurisdictions worldwide emphasize the need for transparent data processing. While the suitability of privac…