16 citations · 42 across the 30 of their papers we have counts for
31 papers
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…
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…
Should LLMs be WEIRD? Exploring WEIRDness and Human Rights in Large Language Models
Ke Zhou, Marios Constantinides, Daniele Quercia
Large language models (LLMs) are often trained on data that reflect WEIRD values: Western, Educated, Industrialized, Rich, and Democratic. This raises concerns about cultural bias…
The AI Model Risk Catalog: What Developers and Researchers Miss About Real-World AI Harms
Pooja S. B. Rao, Sanja Šćepanović, Dinesh Babu Jayagopi +2
We analyzed nearly 460,000 AI model cards from Hugging Face to examine how developers report risks. From these, we extracted around 3,000 unique risk mentions and built the \emph{A…
Vitamin N: Benefits of Different Forms of Public Greenery for Urban Health
Sanja Šćepanović, Sagar Joglekar, Stephen Law +4
Urban greenery is often linked to better health, yet findings from past research have been inconsistent. One reason is that official greenery metrics measure the amount or nearness…
Mobile Application Traffic Reveals Multifunctional Use Patterns in Parisian Parks
André Felipe Zanella, Linus W. Dietz, Sanja Šćepanović +3
Urban parks play a key role in supporting public health. Landscape architecture typically considers parks through the lens of form and function. While past research on equitable ac…
The Potential Impact of Disruptive AI Innovations on U.S. Occupations
Munjung Kim, Marios Constantinides, Sanja Šćepanović +2
The rapid rise of AI is poised to disrupt the labor market. However, AI is not a monolith; its impact depends on both the nature of the innovation and the jobs it affects. While co…
The Experience of Running: Recommending Routes Using Sensory Mapping in Urban Environments
Katrin Hänsel, Luca Maria Aiello, Daniele Quercia +4
Depending on the route, runners may experience frustration, freedom, or fulfilment. However, finding routes that are conducive to the psychological experience of running remains an…
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…
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…
UST-GNN: A Unified Spatial--Topological Graph Neural Network Framework for Urban Analytics--Demonstrated through a Case Study on Urban Health Prediction
Minwei Zhao, Sanja Scepanovic, Stephen Law +3
Understanding how social, demographic, environmental, and spatial factors jointly shape urban outcomes is essential for sustainable urban development and evidence-based policy. Tra…
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…
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…
AI, Jobs, and the Automation Trap: Where Is HCI?
Marios Constantinides, Daniele Quercia
As artificial intelligence (AI) continues to reshape the workforce, its current trajectory raises pressing questions about its ultimate purpose. Why does job automation dominate th…