If your organization is interested in a complimentary in-house seminar, please contact our education team at info@bayesia.us.

Seminar Program

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:

Probabilistic Evidential Reasoning

• Probabilistic reasoning with conflicting evidence 
• Overcoming the Prosecutor's Fallacy (Fallacy of the Transposed Conditional)
• Intercausal reasoning ("explaining away")
• Quantifying the importance of observations and their sensitivity (Mutual Information)
• Analyzing evidence consistency (Bayes Factor)
• Using joint probability as a measure of plausibility
• Reconstructing foreseeability
• Eliciting knowledge from stakeholders, using the Bayesia Expert Knowledge Elicitation Environment (BEKEE)

Causal Inference

• Formal and intuitive treatment of causation, prevention, omission, and omission of prevention
• Evaluating bias claims and discrimination (dealing with Simpson's Paradox)
• Causal inference for estimating effects from observational data and expert knowledge
• Counterfactual causal analysis ("Had it not been for...")
• Computing the "most relevant explanation" of an observed outcome
• Contribution/attribution analysis for allocating damages between multiple defendants

Decision Support & Optimization

• Developing adversarial reasoning strategies
• Quantifying outcome uncertainty (Entropy)
• Modeling jury perception
• Estimating overall case risk

Seminar Format, Technology, and Materials

• In this seminar, we alternate slides presentations, group discussions, and software demos of case studies.
• The number of participants is limited to 20.
• There will be one 10-minute break during the seminar.
• After the event, you will receive all presentation slides in PDF format.
• You can download all Bayesian network models used in the seminar.

Requirements for Participants

• This seminar is intended exclusively for law practitioners, i.e., lawyers, attorneys, judges, corporate counsels, law clerks, arbitrators, plus law students and law school faculty.
• No mathematical, statistical, or programming skills are required as background. 
• Even though the seminar is free of mathematical formulas and statistical jargon, it is a fast-paced and intellectually challenging program. So, your full concentration will be required over three hours.