collaborators

9 papers

cs.AI2026

Unaccountable Delegation, Fading Skills: Mapping the Risks of Workplace AI Agents

Gabriele La Malfa, Lakmal Meegahapola, Edyta Bogucka +4

To anticipate socio-technical risks from AI agents, organizations need taxonomies to classify them. However, existing AI risk taxonomies focus on broad risks and do not capture job…

cs.CY2026

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…

cs.CY2026

Frictionless Love: Associations Between AI Companion Roles and Behavioral Addiction

Vibhor Agarwal, Ke Zhou, Edyta Paulina Bogucka +1

AI companion chatbots increasingly shape how people seek social and emotional connection, sometimes substituting for relationships with romantic partners, friends, teachers, or eve…

cs.HC2026

Agent-Supported Foresight for AI Systemic Risks: AI Agents for Breadth, Experts for Judgment

Leon Fröhling, Alessandro Giaconia, Edyta Paulina Bogucka +1

AI impact assessments often stress near-term risks because human judgment degrades over longer horizons, exemplifying the Collingridge dilemma: foresight is most needed when knowle…

cs.HC2025

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

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…