4 papers · 1 filter
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…
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…
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…
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…