Certifying Generative AI: Retrieval-Augmented Generation Chatbots in High-Stakes Environments

This article emphasizes the urgent need for certifying RAG GenAI chatbots in mission-critical systems, focused on data integrity and model reliability, with a comprehensive framework of technical, ethical, and operational assessments, which demonstrate its necessity through real-world implementations, advocating for continuous innovation and adaptable regulations.

The advent of AI and machine learning (ML) has revolutionized various sectors, especially those involving mission- and life-critical systems. Sectors such as health care, defense, transportation, and emergency response demand the utmost standards of reliability, safety, and security. GenAI and large language models (LLMs) have introduced new capabilities1 and efficiencies.2 The global LLM market size was estimated at US$4.35 billion in 2023 and is projected to grow at a compound annual growth rate of 36% from 2024 to 2030.3 However, they have also brought forth unique challenges4 and risks, particularly in terms of system integrity and dependability.