38 citations · 133 across the 26 of their papers we have counts for
28 papers
The Quiet Path from Seemingly Minor Design Errors to Workplace AI Incidents
Julia De Miguel Velázquez, Sanja Šćepanović, Andrés Gvirtz +1
Recent human-computer interaction (HCI) research has revealed a widespread misalignment between how developers design workplace artificial intelligence (AI) systems, and what worke…
When and How AI Should Assist Brainstorming for AI Impact Assessment
Jarod Govers, Sanja Šćepanović, Daniele Quercia
A key task in AI practice is to assess potential impacts to prevent harm. Current AI tools assisting AI impact assessment have not been designed or evaluated for collaborative team…
Why AI Harms Can't Be Fixed One Identity at a Time: What 5300 Incident Reports Reveal About Intersectionality
Edyta Bogucka, Sanja Šćepanović, Daniele Quercia
AI risk assessment is the primary tool for identifying harms caused by AI systems. These include intersectional harms, which arise from the interaction between identity categories…
Impact Assessment Card: Communicating Risks and Benefits of AI Uses
Edyta Bogucka, Marios Constantinides, Sanja Šćepanović +1
Communicating the risks and benefits of AI is important for regulation and public understanding. Yet current methods such as technical reports often exclude people without technica…
The AI Model Risk Catalog: What Developers and Researchers Miss About Real-World AI Harms
Pooja S. B. Rao, Sanja Šćepanović, Dinesh Babu Jayagopi +2
We analyzed nearly 460,000 AI model cards from Hugging Face to examine how developers report risks. From these, we extracted around 3,000 unique risk mentions and built the \emph{A…
Mobile Application Traffic Reveals Multifunctional Use Patterns in Parisian Parks
André Felipe Zanella, Linus W. Dietz, Sanja Šćepanović +3
Urban parks play a key role in supporting public health. Landscape architecture typically considers parks through the lens of form and function. While past research on equitable ac…