most citedAddressing Social Misattributions of Large Language Models: An HCXAI-based Approach

3 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SE2026

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…

cs.AI2026

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…

cs.AI2026

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…

cs.AI2024

Machine Learning and Theory Ladenness -- A Phenomenological Account

Alberto Termine, Emanuele Ratti, Alessandro Facchini

We provide an analysis of theory ladenness in machine learning in science, where "theory", that we call "domain theory", refers to the domain knowledge of the scientific discipline…

cs.HC2024

Designing for Complementarity: A Conceptual Framework to Go Beyond the Current Paradigm of Using XAI in Healthcare

Elisa Rubegni, Omran Ayoub, Stefania Maria Rita Rizzo +7

The widespread use of Artificial Intelligence-based tools in the healthcare sector raises many ethical and legal problems, one of the main reasons being their black-box nature and…

cs.AI2024★ 3 cited

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…