collaborators

5 papers

cs.HC2026

Exploring the "Banality" of Deception in Generative AI

Ishitaa Narwane, Johanna Gunawan, Konrad Kollnig

Current approaches to addressing deceptive design largely focus on visible interface manipulations, commonly referred to as "dark patterns". With the rise of generative AI, decepti…

cs.CY2026

Is your AI Model Accurate Enough? The Difficult Choices Behind Rigorous AI Development and the EU AI Act

Lucas G. Uberti-Bona Marin, Bram Rijsbosch, Kristof Meding +3

Technical and legal debates frequently suggest that "accuracy" is an objective, measurable, and purely technical property. We challenge this view, showing that evaluating AI perfor…

cs.CY2025

Adoption of Watermarking for Generative AI Systems in Practice and Implications under the new EU AI Act

Bram Rijsbosch, Gijs van Dijck, Konrad Kollnig

AI-generated images have become so good in recent years that individuals often cannot distinguish them any more from "real" images. This development, combined with the rapid spread…

cs.CR2025

Every Keystroke You Make: A Tech-Law Measurement and Analysis of Event Listeners for Wiretapping

Shaoor Munir, Nurullah Demir, Qian Li +2

The privacy community has a long track record of investigating emerging types of web tracking techniques. Recent work has focused on compliance of web trackers with new privacy law…

cs.CY2025

Are Companies Taking AI Risks Seriously? A Systematic Analysis of Companies' AI Risk Disclosures in SEC 10-K forms

Lucas G. Uberti-Bona Marin, Bram Rijsbosch, Gerasimos Spanakis +1

As Artificial Intelligence becomes increasingly central to corporate strategies, concerns over its risks are growing too. In response, regulators are pushing for greater transparen…