Trump Forgot the Word "Alzheimer's": When Will AI Start Checking Politicians for Sanity

Irony of fate is sometimes too straightforward. Donald Trump, speaking before his supporters, once again decided to emphasize his cognitive sharpness, but stumbled on the most important word. He literally couldn't remember the name of Alzheimer's disease while describing how successfully he passed tests for its absence. For the media landscape this is another occasion for jokes, but for the artificial intelligence industry this is a serious case about how health monitoring technologies are changing our understanding of public life.

Let's be honest: we have entered an era of "gerontocracy," where key decisions are made by people whose age has long exceeded the point when cognitive functions begin to fade. And if previously we relied on official certificates from personal physicians, which are always "in perfect order," now we have an independent arbiter — large language models and algorithms for speech analysis. Researchers have been running transcripts of public figures' speeches through neural networks for more than a year now to track the dynamics of their mental state.

How does this work in practice? AI analyzes the so-called "semantic density" and vocabulary diversity. When the brain begins to lose neural connections, a person unconsciously simplifies sentence structure, uses fillers more often — those very "um," "well," "you know" — and replaces specific nouns with general concepts. Trump, who forgot the word "Alzheimer," demonstrated a classic symptom of anomia, when a person understands the concept but cannot retrieve its name from memory. For a neural network this is a clear signal that it captures instantly, unlike the loyal electorate.

It's interesting that similar analysis methods were already applied to Ronald Reagan's later speeches. Retrospective analysis using modern algorithms showed that signs of disease were visible in his speech years before doctors made an official diagnosis. Today we don't need to wait decades. We can feed debate transcripts in real time to models like GPT-4 or specialized medical AI to get a graph of cognitive decline. This puts a heavy ethical question before society: do we have the right to demand a "digital diagnosis" for those who govern the state?

The problem is that AI has no empathy and political preferences. It doesn't care who you voted for. It simply sees that the frequency of word repetition has increased by 15%, and logical connectors have become shorter. This creates a new reality where a politician can no longer hide behind makeup or clever editing. Every live speech becomes a voluntary submission to tests. In the coming years we will see the emergence of tools that will overlay a "sanity index" directly onto live broadcasts.

Of course, critics will say this is an invasion of privacy and a violation of medical confidentiality. But when it comes to a person whose momentary confusion could cost global stability, the boundaries of privacy blur. We already trust AI to manage airplanes and diagnose cancer, so why not trust it to monitor those at the helm? The case with Trump is just the tip of the iceberg, reminding us that the human brain is extremely fragile "hardware" that needs constant auditing.

The key point: Will automated cognitive scoring become a mandatory condition for participation in elections in an era when AI knows about our health more than we do ourselves?