4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CL2025
Mapping Trustworthiness in Large Language Models: A Bibliometric Analysis Bridging Theory to Practice
José Siqueira de Cerqueira, Kai-Kristian Kemell, Rebekah Rousi +3
The rapid proliferation of Large Language Models (LLMs) has raised significant trustworthiness and ethical concerns. Despite the widespread adoption of LLMs across domains, there i…
cs.CY2024★ 4 cited
Can We Trust AI Agents? A Case Study of an LLM-Based Multi-Agent System for Ethical AI
José Antonio Siqueira de Cerqueira, Mamia Agbese, Rebekah Rousi +3
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…