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7 papers · 1 filter
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…
Multivariable Vandermonde determinants, amalgams of matrices and Specht modules
Francis Brown
Using results of Fayers on the structure of Specht modules, we prove two different formulae for the determinant of matrices which are obtained by amalgamating the entries of two sm…
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…
3D Foundation Model-Based Loop Closing for Decentralized Collaborative SLAM
Pierre-Yves Lajoie, Benjamin Ramtoula, Daniele De Martini +1
Decentralized Collaborative Simultaneous Localization And Mapping (C-SLAM) techniques often struggle to identify map overlaps due to significant viewpoint variations among robots.…