María Vanina Martínez

Advancing Interactive Explainable AI via Belief Change Theory

2024 · arXiv (Cornell University)

As AI models become ever more complex and intertwined in humans' daily lives, greater levels of interactivity of explainable AI (XAI) methods are needed. In this paper, we propose the use of belief change theory …

Do Large Language Models Show Biases in Causal Learning?

2024 · arXiv (Cornell University)

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 is prone to errors and biases, such as the illusion …