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cs.HC2026

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…

cs.HC2026

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…

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.HC2025

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…

cs.HC2024

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…

cs.HC2024

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…