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Navigating AI Chatbots: Air Canada’s Lesson in Accountability and Innovation
Exploring the Significance of AI Regulation, RAG’s Role in Reducing Errors, and the Future of LLMs
In the digital age, the interaction between artificial intelligence (AI) and human lives grows more intertwined by the day, offering both unparalleled convenience and unique challenges. A particularly compelling illustration of this dynamic is a recent incident involving Air Canada and its chatbot, sparking widespread discussion about the responsibilities of companies in the age of AI. This story not only highlights the need for clear regulatory frameworks for AI but also showcases the potential of advanced AI technologies like Retrieval-Augmented Generation (RAG) to address issues inherent in current systems. Here, we delve into why Air Canada needs to take responsibility, how RAG could solve the problem of AI hallucination, and the differences between RAG and traditional Large Language Models (LLMs) that require training.
The Case for Air Canada’s Responsibility
The saga of Air Canada’s chatbot, which inadvertently created a refund policy, brings to light the accountability of corporations in the digital realm. The chatbot, a tool designed to streamline customer service by…
