16 citations · 42 across the 30 of their papers we have counts for
11 papers · 1 filter
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…
When AI Enters the Workplace, Who Faces Greater Risks? A Gendered Analysis
Miriam Fernandez, Ángel Pavón Pérez, Damiano Giallongo +4
Gender inequality remains a persistent structural feature of the labour market, shaping women's lifetime earnings and economic security. As artificial intelligence (AI) transforms…
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…
Will AI Agents Free Us From Meaningless Work? A Human-Centered Analysis
Davide Ghia, Jaspreet Ranjit, Tania Cerquitelli +1
Some claim that AI agents will free workers from the boring parts of their jobs, yet little is known about how workers themselves identify which tasks should be automated. Prior re…
The Quiet Path from Seemingly Minor Design Errors to Workplace AI Incidents
Julia De Miguel Velázquez, Sanja Šćepanović, Andrés Gvirtz +1
Recent human-computer interaction (HCI) research has revealed a widespread misalignment between how developers design workplace artificial intelligence (AI) systems, and what worke…
When and How AI Should Assist Brainstorming for AI Impact Assessment
Jarod Govers, Sanja Šćepanović, Daniele Quercia
A key task in AI practice is to assess potential impacts to prevent harm. Current AI tools assisting AI impact assessment have not been designed or evaluated for collaborative team…
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…
Are We Automating the Joy Out of Work? Designing AI to Augment Work, Not Meaning
Jaspreet Ranjit, Ke Zhou, Swabha Swayamdipta +1
Prior work has mapped which workplace tasks are exposed to AI, but less is known about whether workers perceive these tasks as meaningful or as busywork. We examined: (1) which dim…
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…