spiegabili
Spiegabili is an Italian term used to describe the property of artificial intelligence systems or models to provide understandable explanations for their decisions. In practice, the concept is central to explainable AI (XAI), a field that aims to make complex, often opaque algorithms more transparent to humans. Spiegabili approaches seek to increase trust, accountability, and governance while supporting compliance with emerging regulations and ethical norms.
There are two broad families of methods. Intrinsically interpretable models, such as linear models, decision trees,
Applications span finance, healthcare, criminal justice, and automated decision-making, where stakeholders require justification for outcomes and
Challenges include the trade-off between accuracy and interpretability, the risk of overinterpreting explanations, potential privacy concerns,