Toward Trustworthy AI-Enabled Internet Search





Publicado en

Actas de las XXVIII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2024)

Licencia Creative Commons


Artificial Intelligence (AI), particularly Large Language Models (LLMs), are called to reshape how we search information on the Internet. AI regulation initiatives (e.g., EU AI Act) are rapidly emerging to ensure that AI products are trustworthy and safe. However, ensuring the regulatory compliance of an AI system currently relies on manual checklists, making the process tedious, time-consuming, and hardly scalable. In this work-in-progress paper, we outline our vision for developing a tool ecosystem aimed at automatically testing AI-driven search engines in accordance with EU trustworthiness compliance requirements. Specifically, we present some of the key quality characteristics to target, a brief summary of the state-of-the-art LLM testing, and the key features of the envisioned tool ecosystem.


Acerca de Romero-Arjona, Miguel

Palabras clave

Artificial Intelligence, Search Engines, Quality Attributes
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