A man is suing law enforcement, alleging that the use of AI facial recognition technology led to his wrongful arrest. This case highlights growing concerns about the accuracy and reliability of these powerful AI systems when applied in critical real-world scenarios. The core of the lawsuit seems to stem from the fact that authorities allegedly fed “poor quality” surveillance images into an AI-powered facial recognition program. This program, by scanning facial features, then reportedly found photos of the suspect and the plaintiff, Dillon, to be a “93% match.”
The idea that a mere “93% match” could be the sole basis for an arrest is unsettling, especially when considering the potential for errors.… Continue reading
The arrival of artificial intelligence in the operating room, a prospect once lauded as a revolution in precision and efficiency, is now casting a shadow of concern with emerging reports of botched surgeries and misidentified body parts. This development sparks a visceral reaction, a primal scream against the idea of a machine, prone to glitches and errors, making life-or-death decisions. The thought of succumbing to a mechanical malfunction, a digital hiccup leading to a severed artery, is a chilling prospect that evokes a deep-seated preference for the imperfect, yet undeniably human, touch of highly trained professionals.
The notion that an AI, susceptible to “hallucinations” – a euphemism for generating nonsensical or factually incorrect information – could misidentify crucial anatomical structures is not just unsettling, it feels almost alarmingly predictable to many.… Continue reading
A study in *The BMJ* assessed the cognitive abilities of leading large language models (LLMs) using the Montreal Cognitive Assessment (MoCA) test. All LLMs exhibited weaknesses in visuospatial skills and executive functions, scoring below the threshold for normal cognitive function. Older versions of the chatbots performed worse, mirroring cognitive decline in humans. These findings challenge the notion of LLMs soon replacing human doctors, suggesting instead a potential future need for clinicians to address AI-related cognitive impairments.
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Matt Underwood 
John Q. Hosedrinker