492 citations
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8 papers · 1 filter
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…
Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research
Nimisha Karnatak, Mohamad Chatila, Daniel Alejandro Pinzón Hernández +3
General-purpose LLMs pose misinformation risks for development and policy experts, lacking epistemic humility for verifiable outputs. We present AVA (AI + Verified Analysis), a Gen…
To LLM, or Not to LLM: How Designers and Developers Navigate LLMs as Tools or Teammates
Varad Vishwarupe, Ivan Flechais, Nigel Shadbolt +1
Large language models (LLMs) are increasingly integrated into design and development workflows, yet decisions about their use are rarely binary or purely technical. We report findi…
Nudging the Somas: Exploring How Live-Configurable Mixed Reality Objects Shape Open-Ended Intercorporeal Movements
Botao Amber Hu, Yilan Elan Tao, Rem RunGu Lin +3
Mixed Reality (MR) increasingly explores how virtual elements can shape physical behavior, yet how MR objects guide group movement remains underexplored. We address this gap by exa…
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…