16 citations · 42 across the 30 of their papers we have counts for
14 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…
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…
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…
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…
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…
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…
The Impact of Responsible AI Research on Innovation and Development
Ali Akbar Septiandri, Marios Constantinides, Daniele Quercia
Translational research, especially in the fast-evolving field of Artificial Intelligence (AI), is key to converting scientific findings into practical innovations. In Responsible A…
Co-designing an AI Impact Assessment Report Template with AI Practitioners and AI Compliance Experts
Edyta Bogucka, Marios Constantinides, Sanja Šćepanović +1
In the evolving landscape of AI regulation, it is crucial for companies to conduct impact assessments and document their compliance through comprehensive reports. However, current…
Good Intentions, Risky Inventions: A Method for Assessing the Risks and Benefits of AI in Mobile and Wearable Uses
Marios Constantinides, Edyta Bogucka, Sanja Scepanovic +1
Integrating Artificial Intelligence (AI) into mobile and wearables offers numerous benefits at individual, societal, and environmental levels. Yet, it also spotlights concerns over…
The Atlas of AI Incidents in Mobile Computing: Visualizing the Risks and Benefits of AI Gone Mobile
Edyta Bogucka, Marios Constantinides, Julia De Miguel Velazquez +3
Today's visualization tools for conveying the risks and benefits of AI technologies are largely tailored for those with technical expertise. To bridge this gap, we have developed a…
ExploreGen: Large Language Models for Envisioning the Uses and Risks of AI Technologies
Viviane Herdel, Sanja Šćepanović, Edyta Bogucka +1
Responsible AI design is increasingly seen as an imperative by both AI developers and AI compliance experts. One of the key tasks is envisioning AI technology uses and risks. Recen…