Data Accuracy in an AI World

Nowadays information is everywhere, and with more and more people using AI, it can be hard to tell whether or not information has been properly vetted. While AI stands for “artificial intelligence,” AI doesn’t make decisions on its own. Instead, it’s closer to a very advanced word prediction software, making associations from common data patterns instead of human-like analyses. Some models are even limited to the data captured at the time of their creation, such as some Chat GPT models which could only access data through 2021, even as people used them in 2022 and beyond. While AI can be useful, it can’t replace a set of human eyes.

How can you know if information has been vetted, or simply machine-generated? There are a few key tells that may suggest you need to look a little deeper. The first is circular reasoning, or ideas being restated in a different way, but not offering any depth of explanation. As AI tends to take the most statistically common data it finds, many of its offerings will be shallow, and the language will be repetitive.

Second, data or figures may appear odd or contradictory, and would be worth checking against other sources. Industry experts refer to the mistakes in AI data as “hallucinations,” meaning data and examples that seem probable, but are not factual. As AI only deals in probabilities and lacks what is known as a “world model” (an understanding of physical and temporal relationships), it is easy to see how these mistakes can happen, but it has led to several notable business embarrassments.

Third, as AI is trained on algorithmic data, it can’t distinguish between fact and human bias. AI has been found to generate insensitive or even offensive content as it has no way of telling whether or not the data it draws from is from a prejudiced source. If clearly biased content is being presented as fact, it is likely the article was written by a program.

In the world of global mobility, these kinds of errors tend to have both personal and professional repercussions. If assignees can’t get deep or accurate data or they unknowingly repeat insensitive ideas, it could start their relocation on a negative note. At Living Abroad our content is vetted by a human team, who are also on hand to provide the answers to specific questions you may have about destinations your company will be sending employees to. With verified information, you can be confident that everyone will be properly prepared.

Written by Kate Havas, GMS-T, Content Manager