Can We Trust AI Agents? A Case Study of an LLM-Based Multi-Agent System for Ethical AI

Understand

AI-based systems, including Large Language Models (LLMs), impact millions by supporting diverse tasks but face issues like misinformation, bias, and misuse.

• AI ethics is crucial as new technologies and concerns emerge, but objective, practical guidance remains debated.
• This study explores the extent to which trustworthiness-enhancing techniques in LLMs can support the development of ethically aligned AI software.
• We adopt a single exploratory cycle of Design Science Research (DSR).