3 citations · 3 across the 9 of their papers we have counts for
9 papers
Convex AI Compositionality and the Governance of AI System Populations
Andrea Ferrario
AI governance increasingly requires providers and public authorities to reason about multiple AI instantiations, alternative versions, and deployment configurations of multiple AI…
A Category Theory Account of AI Identity
Andrea Ferrario
Artificial intelligence (AI) systems are routinely modified after deployment through retraining and changes in their environments. These transformations raise a metaphysical questi…
Tree-Based Formalization of Multi-Agent Complementarity in Human-AI Interactions
Andrea Ferrario
Complementarity is the case in which a human--AI interaction (HAI) outperforms the best prediction benchmark available among its members. Although this idea is central in HAI resea…
Update Opacity: Epistemic Accessibility and Governance Under AI System Change
Andrea Ferrario, Joshua Hatherley
Machine learning models embedded in deployed AI systems are routinely updated to maintain correct functioning over time. Yet such updates can generate update opacity: users may not…
High-Risk AI Systems and the Problem of Identity in the European AI Act
Andrea Ferrario
The EU Artificial Intelligence Act (AIA) establishes a lifecycle governance regime for high-risk AI systems built around ex-ante conformity assessment, post-market monitoring, and…
Beyond the 'Diff': Addressing Agentic Entropy in Agentic Software Development
Matteo Casserini, Alessandro Facchini, Andrea Ferrario
As autonomous coding agents become deeply embedded in software development workflows, their high operational velocity introduces a critical oversight challenge: the accumulating di…
Epistemology gives a Future to Complementarity in Human-AI Interactions
Andrea Ferrario, Alessandro Facchini, Juan M. Durán
Human-AI complementarity is the claim that a human supported by an AI system can outperform either alone in a decision-making process. Since its introduction in the humanAI interac…
A Scoping Review of the Ethical Perspectives on Anthropomorphising Large Language Model-Based Conversational Agents
Andrea Ferrario, Rasita Vinay, Matteo Casserini +1
Anthropomorphisation -- the phenomenon whereby non-human entities are ascribed human-like qualities -- has become increasingly salient with the rise of large language model (LLM)-b…
Addressing Social Misattributions of Large Language Models: An HCXAI-based Approach
Andrea Ferrario, Alberto Termine, Alessandro Facchini
Human-centered explainable AI (HCXAI) advocates for the integration of social aspects into AI explanations. Central to the HCXAI discourse is the Social Transparency (ST) framework…