5 citations · 9 across the 4 of their papers we have counts for
4 papers
Atlas of AI Risks: Enhancing Public Understanding of AI Risks
Edyta Bogucka, Sanja Šćepanović, Daniele Quercia
The prevailing methodologies for visualizing AI risks have focused on technical issues such as data biases and model inaccuracies, often overlooking broader societal risks like job…
How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data
Ishaan Maitra, Raymond Lin, Eric Chen +3
Health outcomes depend on complex environmental and sociodemographic factors whose effects change over location and time. Only recently has fine-grained spatial and temporal data b…
The Atlas of AI Incidents in Mobile Computing: Visualizing the Risks and Benefits of AI Gone Mobile
Edyta Bogucka, Marios Constantinides, Julia De Miguel Velazquez +3
Today's visualization tools for conveying the risks and benefits of AI technologies are largely tailored for those with technical expertise. To bridge this gap, we have developed a…
ExploreGen: Large Language Models for Envisioning the Uses and Risks of AI Technologies
Viviane Herdel, Sanja Šćepanović, Edyta Bogucka +1
Responsible AI design is increasingly seen as an imperative by both AI developers and AI compliance experts. One of the key tasks is envisioning AI technology uses and risks. Recen…