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cs.SE2026
A Low-Code Approach for the Automatic Personalization of Conversational Agents
Aaron Conrardy, Alfredo Capozucca, Jordi Cabot
The rise of Large Language Models (LLMs) has increased the demand for Conversational Agents (CAs) capable of understanding human conversations as part of web applications. While tr…
cs.AI2026
LLM-FACETS: A Privacy-Preserving Framework for Evaluating LLM Transparency and Accountability
Tom Lucas, Alessio Buscemi, Alfredo Capozucca +2
Assessing whether Large Language Models outputs are factually grounded, epistemically calibrated, and methodologically reproducible is a prerequisite for responsible AI deployment.…
cs.CY2026
Bathtubs, Boundaries, and Sandboxes: AI Regulatory Learning under Legal Uncertainty
Tom Deckenbrunnen, Alessio Buscemi, Marco Almada +2
Effective regulation of AI is a defining policy challenge, driven by their integration into all aspects of society. To remain responsive to their rapid development and emergent pro…