IBM Reveals: AI Models Are Repeating Humanity’s Most Embarrassing Mistakes
Artificial intelligence just got a brutal reality check—turns out machines are inheriting our worst cognitive biases. IBM researchers exposed how cutting-edge AI models mirror human flaws, from confirmation bias to pattern-seeking delusions. The irony? We built them to fix our errors.
When Algorithms Out-Stubborn Humans
Training data is the culprit. Feed AI the same messy, irrational decisions humans make, and guess what? You get artificial stupidity. Models now double down on bad logic faster than a crypto trader holding bags at ATH.
The $300B Self-Own
Enterprises poured fortunes into AI to eliminate human error. Now they’re stuck debugging machine-learning hubris—the ultimate ‘move fast and break things’ backfire. Next up: AI models demanding hazard pay for existential crises.
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Chen explained that these systems don’t truly understand what they are saying. Instead, they just predict the next word based on patterns in data. As models get larger and more powerful, they also become more uncertain. IBM tests for this by intentionally pushing models to their limits and recording how they fail. While the results may sound fluent and convincing, they can easily hide deeper issues. That’s why Chen believes that generative AI is better suited for creative uses, rather than high-stakes decisions in areas such as healthcare, finance, or the legal system, where accuracy and consistency are crucial.
To tackle these issues, IBM is developing tools and processes designed to make AI more transparent and trustworthy. For example, the Attention Tracker lets users see which parts of a model are active during a response, thereby providing clues into how it arrived at an answer. Chen’s team also contributes to IBM’s “AI risk atlas,” which is a living document that tracks risks like bias, hallucinations, and security vulnerabilities. He believes that truly reliable AI needs built-in awareness of its limits, and that real progress will come from models that know when they don’t know.
Is IBM a Buy, Sell, or Hold?
Turning to Wall Street, analysts have a Moderate Buy consensus rating on IBM stock based on seven Buys, six Holds, and one Sell assigned in the past three months, as indicated by the graphic below. Furthermore, the average IBM price target of $295.18 per share implies 6.5% downside risk.
