{"id":374790,"date":"2025-11-13T01:06:12","date_gmt":"2025-11-13T01:06:12","guid":{"rendered":"https:\/\/www.europesays.com\/us\/374790\/"},"modified":"2025-11-13T01:06:12","modified_gmt":"2025-11-13T01:06:12","slug":"ibm-explains-how-ai-models-are-making-a-familiar-human-mistake","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/us\/374790\/","title":{"rendered":"IBM Explains How AI Models Are Making a Familiar Human Mistake"},"content":{"rendered":"

Modern AI<\/a> language models are making a familiar human mistake: they speak with confidence, even when they\u2019re wrong. According to tech giant IBM (IBM)<\/a>, these errors, often called \u201challucinations,\u201d are becoming more common in places where accuracy is critical, like legal filings, financial reports, and news summaries. In fact, a recent study by the European Broadcasting Union found that nearly half of the answers provided by major AI assistants<\/a> were either incorrect or cited unverified sources. As a result, IBM researchers, such as Pin-Yu Chen, are focused on making AI more dependable. <\/p>\n

Meet Your ETF AI Analyst<\/p>\n

Chen explained that these systems don\u2019t 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\u2019s 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.<\/p>\n

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\u2019s team also contributes to IBM\u2019s \u201cAI risk atlas,\u201d 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\u2019t know.<\/p>\n

Is IBM a Buy, Sell, or Hold?<\/strong><\/p>\n

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\u00a0average IBM price target<\/a>\u00a0of $295.18 per share implies 6.5% downside risk.<\/p>\n

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See more IBM analyst ratings<\/a><\/strong><\/p>\n

Disclaimer & Disclosure<\/a>Report an Issue<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"Modern AI language models are making a familiar human mistake: they speak with confidence, even when they\u2019re wrong.…\n","protected":false},"author":3,"featured_media":374791,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[21],"tags":[691,738,158,67,132,68],"class_list":{"0":"post-374790","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"tag-ai","9":"tag-artificial-intelligence","10":"tag-technology","11":"tag-united-states","12":"tag-unitedstates","13":"tag-us"},"share_on_mastodon":{"url":"https:\/\/pubeurope.com\/@us\/115539712198592685","error":""},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/posts\/374790","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/comments?post=374790"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/posts\/374790\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/media\/374791"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/media?parent=374790"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/categories?post=374790"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/tags?post=374790"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}