As the Middle East rapidly embraces generative AI across various sectors, the fundamental challenge confronting businesses is not just about leveraging this technology, but ensuring it is trustworthy. The question that perplexes many is: how do we build generative AI applications that provide accurate responses without succumbing to “hallucinations” that is making facts up, and eliminating misleading, or incorrect outputs? The solution may lie in an older, more established technology: search engines. By analysing how search engines manage to provide reliable answers, businesses can learn valuable lessons about building trustworthy AI applications.
This is particularly vital as the potential for generative AI to enhance efficiency, productivity, and customer service in the region is immense, but only if enterprises can be sure their generative AI apps provide reliable and accurate information. The search engine precedent Search engines excel in filtering through massive amounts of data to identify the most relevant and credible information. They employ sophisticated algorithms to assess the quality of links and prioritise content from authoritative sources including corporate training manuals and human resources databases, while steering clear of less dependable data.
This is an approach that can be mirrored in generative AI to ensure accuracy and reliability. For instance, when a user queries a search engine about a local event in Dubai, the engine uses location-based fil.