What are AI Hallucinations?

It’s been a good few years for artificial intelligence. While the concept of AI has been around for decades, it’s only during the last three years that it has become so popular in the public psyche.

In 2023, ChatGPT now has over 180.5 million users around the world, which represents an 80.5% increase over the last eight months. As more people begin to use it, the technology will also grow, so there’s no telling how powerful it will be by the end of this decade.

AI Hallucinations
Credits: Unsplash

But there’s a problem. Although ChatGPT has a strong framework to keep it responsible, not every AI generator has the same guardrails. In fact, most AI tools have been let off the chain.

AI Is Hallucinating

As AI and ML gets more and more popular, there has been an increase in cases of AI hallucinating, and presenting inaccurate information or solutions based on those hallucinations.

This is bad news for businesses integrating AI and ML into their operations, especially when it comes to maintaining an ethical AI foundation that is compliant, transparent, and reliable.

Staying on the subject of ChatGPT, a rival AI information tool is OpenAI, which uses the same kind of technology to offer users the same thing. If you were to ask an unanswerable question into ChatGPT, it would openly tell you that it doesn’t know the answer.

On the other hand, if you were to ask an unanswerable question in OpenAI because it is trained to string together information and data to match your query, it will essentially hallucinate an answer simply to please you. Logic, accuracy, and transparency go out the window.

As mentioned before, this is a problem across the board. Dangerous AI hallucinations can occur in any ML programme, whether that’s due to insufficient, low-quality data, or gaps that lead it to jump to conclusions. This, similarly, sparks ethical, practical, and compliance concerns for companies that have implicated them.

Your Company Is Not Hallucinating

The important thing to remember, however, is that, while AI can hallucinate, your company and its members cannot. In other words, it is your duty to harness this technology and ensure that its analysis and assumptions are correct.

You know what it takes to be GDPR compliant, you know what it takes to accumulate, analyse and apply appropriate data, and you know what AI needs to do to achieve that. So while ML programmes are automated, it is important for you to avoid running on auto mode.

The best way to do this is by investing in an ML observability platform to keep your AI transparent. With a unified platform, you can ensure the integrity and responsibility of your AI with a full view of your models, trends, performance, and behaviour, all on one platform.

This essentially gives the power back to you, the company, to maintain your ML programme and tackle the problem of AI hallucinations before they even begin. Remember that the development of a strong AI tool is only step one. The next steps are about maintaining it and ensuring it remains responsible and, for want of a better word, sane!

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