most citedTrust in Vision-Language Models: Insights from a Participatory User Workshop

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.HC2026

Following Delegation Traces to Study Human Oversight in Interaction with Multimodal AI

Agnese Chiatti, Matteo Matteucci, Viola Schiaffonati

As multimodal AI systems are becoming our everyday thought partners, the shift towards studying how users transfer control to these systems becomes especially urgent. In this paper…

cs.HC2025★ 1 cited

Trust in Vision-Language Models: Insights from a Participatory User Workshop

Agnese Chiatti, Lara Piccolo, Sara Bernardini +2

With the growing deployment of Vision-Language Models (VLMs), pre-trained on large image-text and video-text datasets, it is critical to equip users with the tools to discern when…

cs.CV2025

Mapping User Trust in Vision Language Models: Research Landscape, Challenges, and Prospects

Agnese Chiatti, Sara Bernardini, Lara Shibelski Godoy Piccolo +2

The rapid adoption of Vision Language Models (VLMs), pre-trained on large image-text and video-text datasets, calls for protecting and informing users about when to trust these sys…

cs.CY2025

A Conceptual Framework for AI-based Decision Systems in Critical Infrastructures

Milad Leyli-abadi, Ricardo J. Bessa, Jan Viebahn +13

The interaction between humans and AI in safety-critical systems presents a unique set of challenges that remain partially addressed by existing frameworks. These challenges stem f…

cs.CY2025

The epistemic dimension of algorithmic fairness: assessing its impact in innovation diffusion and fair policy making

Eugenia Villa, Camilla Quaresmini, Valentina Breschi +2

Algorithmic fairness is an expanding field that addresses a range of discrimination issues associated with algorithmic processes. However, most works in the literature focus on ana…