Summary of Modelling Human Values For Ai Reasoning, by Nardine Osman and Mark D’inverno
Modelling Human Values for AI Reasoning
by Nardine Osman, Mark d’Inverno
First submitted to arxiv on: 9 Feb 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Multiagent Systems (cs.MA)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper presents a formal model of human values for computational representation in artificial intelligence (AI) systems. This model aims to address the challenge of aligning AI behavior with human values, particularly in communities where humans interact with artificial agents. Building on decades of research in social psychology, the authors demonstrate how their model can facilitate value-based reasoning and decision-making in real-world scenarios. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper provides a way for computers to understand what matters most to people, like fairness, honesty, or kindness. This is important because it will help AI systems make good choices that reflect our values. Imagine having an AI system that helps you make decisions based on what’s truly important to you! |
