6 citations · 6 across the 8 of their papers we have counts for
6 papers · 1 filter
Human Attribution of Causality to AI Across Agency, Misuse, and Misalignment
Maria Victoria Carro, David Lagnado
AI-related incidents are becoming increasingly frequent and severe, ranging from safety failures to misuse by malicious actors. In such complex situations, identifying which elemen…
Do Large Language Models Show Biases in Causal Learning? Insights from Contingency Judgment
María Victoria Carro, Denise Alejandra Mester, Francisca Gauna Selasco +4
Causal learning is the cognitive process of developing the capability of making causal inferences based on available information, often guided by normative principles. This process…
A Conceptual Framework for AI Capability Evaluations
María Victoria Carro, Denise Alejandra Mester, Francisca Gauna Selasco +7
As AI systems advance and integrate into society, well-designed and transparent evaluations are becoming essential tools in AI governance, informing decisions by providing evidence…
Do Large Language Models Show Biases in Causal Learning?
Maria Victoria Carro, Francisca Gauna Selasco, Denise Alejandra Mester +4
Causal learning is the cognitive process of developing the capability of making causal inferences based on available information, often guided by normative principles. This process…
Flattering to Deceive: The Impact of Sycophantic Behavior on User Trust in Large Language Model
María Victoria Carro
Sycophancy refers to the tendency of a large language model to align its outputs with the user's perceived preferences, beliefs, or opinions, in order to look favorable, regardless…
Are UFOs Driving Innovation? The Illusion of Causality in Large Language Models
María Victoria Carro, Francisca Gauna Selasco, Denise Alejandra Mester +1
Illusions of causality occur when people develop the belief that there is a causal connection between two variables with no supporting evidence. This cognitive bias has been propos…