Summary of Integrating Reasoning Systems For Trustworthy Ai, Proceedings Of the 4th Workshop on Logic and Practice Of Programming (lpop), by Anil Nerode and Yanhong A. Liu
Integrating Reasoning Systems for Trustworthy AI, Proceedings of the 4th Workshop on Logic and Practice of Programming (LPOP)
by Anil Nerode, Yanhong A. Liu
First submitted to arxiv on: 1 Oct 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Logic in Computer Science (cs.LO); Programming Languages (cs.PL)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This proceedings contains abstracts and position papers from the fourth Logic and Practice of Programming (LPOP) Workshop, held as a hybrid event on October 13, 2024, in conjunction with the 40th International Conference on Logic Programming (ICLP). The workshop focuses on integrating reasoning systems for trustworthy AI, combining diverse models of programming with rules and constraints. The paper presents a novel approach to integrating reasoning systems for trustworthy AI, leveraging the strengths of diverse models of programming with rules and constraints. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The LPOP Workshop is all about making artificial intelligence more reliable by combining different approaches to programming. The workshop will bring together experts from around the world to share their ideas on how to make AI work better. The main goal is to develop ways to trust that AI systems are working correctly, which is crucial in many areas such as healthcare and finance. |
