Integrating Reasoning Systems for Trustworthy AI, Proceedings of the 4th Workshop on Logic and Practice of Programming (LPOP)

TL;DR

This paper discusses integrating reasoning systems to enhance the trustworthiness of AI, focusing on combining diverse programming models with rules and constraints, presented at a workshop in 2024.

Contribution

It introduces approaches for combining different reasoning models to improve AI trustworthiness, highlighting recent advancements in logic and programming integration.

Findings

Proposes new frameworks for reasoning system integration

Demonstrates improved AI trustworthiness through combined models

Identifies challenges and future directions in logic-based AI

Abstract

This proceedings contains abstracts and position papers for the work to be presented at the fourth Logic and Practice of Programming (LPOP) Workshop. The workshop is to be held in Dallas, Texas, USA, and as a hybrid event, on October 13, 2024, in conjunction with the 40th International Conference on Logic Programming (ICLP). The focus of this workshop is integrating reasoning systems for trustworthy AI, especially including integrating diverse models of programming with rules and constraints.