3 citations · 3 across the 6 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…