17 citations · 43 across the 20 of their papers we have counts for
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Small-world Networks of Agents Brainstorm AI Risks to Support Ideation
Ke Zhou, Edyta Bogucka, Daniele Quercia
The ideation phase of participatory AI risk assessment often starts with a blank slate or a limited list of predefined risks, making it difficult to surface indirect or systemic ha…
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…
Participatory Moral AI Is Not Neutral: The Invisible Hand of Developers
Taenyun Kim, Edyta Bogucka, Daniele Quercia
As AI systems make more morally loaded decisions across society, one response has been moral preference elicitation. In this approach, researchers poll participants on hypothetical…
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…
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…
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…