"It is our contention that a Bayesian network (BN), which is a graphical model of uncertainty, is especially well-suited to legal arguments. A BN enables us to visualise the relationship between different hypotheses and pieces of evidence in a complex legal argument. But, in addition to its powerful visual appeal, it has an underlying calculus that determines the revised probability beliefs about all uncertain variables when any piece of new evidence is presented." (Fenton, Neil, & Lagnado, 2013)
While Bayesian networks have been recognized as a powerful research framework in many fields of study for decades, the practical application of Bayesian networks in the field of law remains in its infancy. With this new seminar series, we introduce law practitioners to the fundamental advantages of employing Bayesian networks and BayesiaLab for probabilistic reasoning and decision support.
|January 21, 2020||Bayesian Networks — Artificial Intelligence for Judicial Reasoning||Washington, D.C.|
|January 30, 2020||Bayesian Networks — Artificial Intelligence for Judicial Reasoning||Chicago, IL|
If your organization is interested in a complimentary in-house seminar, please contact our education team at email@example.com.
In this free three-hour seminar for law professionals, we present a unified, normative framework for judicial reasoning by implementing the Bayesian network formalism with the BayesiaLab 9 software. This provides a visual and explainable approach to Artificial Intelligence that supports core reasoning tasks in the practice of law, such as: