AI hallucinations will decrease with more development

Like any technology, AI requires what NLP expert Kelly Stone calls the “human in the loop” validation stage. Including humans in the process both to check and refine AI output will ensure that this type of technology continues to learn so that, down the line, it’ll produce even more refined and accurate answers.

AI companies are continuously working to improve their products, and there are a few key ways that these improvements are typically made. Having an abundance of data is a formidable start, but structuring that data in a way that it’s easily accessible and usable is the real challenge. And considering that most companies’ data constantly grows – and sometimes does so exponentially – means a robust structure is incredibly important.

Maintaining databases in a singular location, like the 3DEXPERIENCE platform, enables companies to keep their information in a consistent setting and state. From there can this data be effectively leveraged for any type of function, whether it’s predicting cost fluctuations or performing NLP to contextualize market trends. Moving away from siloed information, the managed platform gives users access to advanced analytics that have the potential to optimize processes, uncover new opportunities and transform business operations for the better.

Stone, of Dassault Systèmes’ information intelligence brand NETVIBES, advocates further development and usage of programs like these. Refining AI will reduce hallucinations, resulting in more trustworthy tools for users of all kinds. Combine that with continued expansion of back-end programs and the AI that fuels them, and you’ve got a perfect storm of intelligence.

“I do kind of believe there’s a future where AI is incredibly reliable,” Stone said. Though she admits we’re not there yet, she thinks the prospect of all kinds of AI – generative, discriminative and predictive alike – being closer to 100% accurate instead of 80% or so isn’t unimaginable.

Absolute excellence is impossible: as humans, we can’t even achieve that, so attempting to create a machine that would be able to be is a bit far-fetched. But overcoming hurdles like generative AI hallucinations will open up a world of possibilities that will enable us to realize the full promise of this type of emerging technology.