38 citations · 133 across the 26 of their papers we have counts for
8 papers · 1 filter
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…
The Potential Impact of Disruptive AI Innovations on U.S. Occupations
Munjung Kim, Marios Constantinides, Sanja Šćepanović +2
The rapid rise of AI is poised to disrupt the labor market. However, AI is not a monolith; its impact depends on both the nature of the innovation and the jobs it affects. While co…
RiskRAG: A Data-Driven Solution for Improved AI Model Risk Reporting
Pooja S. B. Rao, Sanja Šćepanović, Ke Zhou +2
Risk reporting is essential for documenting AI models, yet only 14% of model cards mention risks, out of which 96% copying content from a small set of cards, leading to a lack of a…
UST-GNN: A Unified Spatial--Topological Graph Neural Network Framework for Urban Analytics--Demonstrated through a Case Study on Urban Health Prediction
Minwei Zhao, Sanja Scepanovic, Stephen Law +3
Understanding how social, demographic, environmental, and spatial factors jointly shape urban outcomes is essential for sustainable urban development and evidence-based policy. Tra…