Smart dispute resolution: Artificial intelligence to reduce litigation

Introducing Alternative Dispute Resolution in Criminal Litigation: An Overview

This article discusses and analyzes the introducing Alternative Dispute Resolution (ADR) in criminal litigation, which refers to the process of dispute resolution, denotes the idea of making the system of delivering justice friendly to the disputed parties and ensuring quick resolution of the cases. For its simplicity the popularity of this system is increasing day by day. The justice seekers o...

The role of nonbinding alternative dispute resolution in litigation

This paper analyzes pretrial mediation, in which a panel estimates the value of the plaintiff’s claim. Each party must decide whether to accept or reject the resulting award. If either party rejects, the case proceeds on toward trial; however, most cases are ultimately settled. We develop and then test a model in which each party has private information about the claim, but the mediation panel ...

Provider association litigation: better choice for dispute resolution?

Improving classification accuracy of project dispute resolution using hybrid artificial intelligence and support vector machine models

Support vector machines (SVMs) have been applied successfully to construction knowledge domains. However, SVMs, as a baseline model, still have a potential improvement space by integrating hybrid intelligence. This work compares the performance of various classification models using the combination of fuzzy logic, a fast and messy genetic algorithm, and SVMs. A set of public–private partnership...

Smart Policies for Artificial Intelligence

Over the past few years, developments in artificial intelligence (AI) have captured the imagination of tens of millions, if not billions, of people around the world. You will have seen countless news stories about the proliferation of driverless cars and AI systems beating the world champions at Jeopardy! and Go – not to mention science fiction stories about more advanced, if often implausible,...