activity
20202026
most citedStreetonomics: Quantifying Culture Using Street Names

17 citations · 43 across the 20 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.HC2025★ 7 cited

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…

cs.SE2025★ 1 cited

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…

cs.HC2025

The Hall of AI Fears and Hopes: Comparing the Views of AI Influencers and those of Members of the U.S. Public Through an Interactive Platform

Gustavo Moreira, Edyta Paulina Bogucka, Marios Constantinides +1

AI development is shaped by academics and industry leaders - let us call them ``influencers'' - but it is unclear how their views align with those of the public. To address this ga…

cs.AI2025★ 7 cited

C3AI: Crafting and Evaluating Constitutions for Constitutional AI

Yara Kyrychenko, Ke Zhou, Edyta Bogucka +1

Constitutional AI (CAI) guides LLM behavior using constitutions, but identifying which principles are most effective for model alignment remains an open challenge. We introduce the…

cs.HC2025★ 5 cited

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…