Author

G. La Malfa

2 papers indexed here

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Preprint Aug 2026

Explore, Map, Remember, Decide: Are Embodied VLMs Ready for Safety-Critical Scenarios?

Theory of Space framework (ToS) assesses the spatial understanding of curiosity-driven Vision-Language Models (VLMs) under partial observability. As AI techniques are increasingly applied to safety-critical scenarios, it is crucial to understand whether VLMs possess robust spatial memory and make reliable decisions. In...

G. Malfa, Nitay Alon, Emanuele La Malfa et al. · 0 citations

Review Aug 2026

Unaccountable Delegation, Fading Skills: Mapping the Risks of Workplace AI Agents

The findings show that workplace AI agent risks do not arise from agents alone; they also depend on how people work with agents and how agents are deployed, which means safer workplaces require not only safer agents but also carefully designed human-AI agent collaboration.

G. La Malfa, L. Meegahapola, E. Bogucka et al. · 0 citations