{"id":1675,"date":"2026-05-28T12:35:09","date_gmt":"2026-05-28T04:35:09","guid":{"rendered":"https:\/\/www.bestsmiletech.com\/?p=1675"},"modified":"2026-07-24T10:57:28","modified_gmt":"2026-07-24T02:57:28","slug":"ai-washing-marketing-basic-automation-or-rule-based-systems-as-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/www.bestsmiletech.com\/ja\/ai-washing-marketing-basic-automation-or-rule-based-systems-as-artificial-intelligence\/","title":{"rendered":"\u300cAI\u30a6\u30a9\u30c3\u30b7\u30f3\u30b0\u300d\uff1a\u57fa\u672c\u7684\u306a\u81ea\u52d5\u5316\u30b7\u30b9\u30c6\u30e0\u3084\u30eb\u30fc\u30eb\u30d9\u30fc\u30b9\u306e\u30b7\u30b9\u30c6\u30e0\u3092\u4eba\u5de5\u77e5\u80fd\u3068\u3057\u3066\u58f2\u308a\u8fbc\u3080\u3053\u3068"},"content":{"rendered":"<p>Against the backdrop of genuine AI\u2019s transformative potential, the orthodontic software market has developed a troubling habit of co-opting the language of artificial intelligence to describe conventional software automation. This practice, known as \u201cAI washing,\u201d takes several forms.<\/p>\n<p>The most common variant is the segmentation swap: a platform markets its auto-segmentation capability as \u201cAI treatment planning\u201d when segmentation is the only AI-powered step in an otherwise manual workflow. Six of the ten platforms offer some form of tooth segmentation automation, but only one extends AI to autonomous plan generation. Segmentation is a well-solved computer vision problem. Treatment planning requires understanding orthodontic biomechanics, force systems, and clinical outcomes\u2014a challenge most vendors have not attempted.<\/p>\n<p>Another variant is the rule-based rebrand. OnyxCeph explicitly describes its technology as using \u201crule-based control modules\u201d and \u201cCA treatment philosophy for automatic transposition.\u201d This is expert-system logic, not machine learning. The system follows encoded rules written by human experts; it does not learn from data or improve with experience. There is nothing wrong with rule-based systems\u2014they can be reliable and transparent\u2014but presenting them as AI is misleading.<\/p>\n<p>A third variant is the speed implication: vendors equate fast workflows with AI intelligence. OrthoUp achieves its approximately fifteen-minute planning time through excellent workflow engineering. The speed is real and valuable, but it comes from human-factor design, not from machine learning.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1676\" src=\"https:\/\/www.bestsmiletech.com\/wp-content\/uploads\/2026\/05\/Clear-Aligner-Design_-Traditional-Manual-Workflow-Pain-Points-71.webp\" alt=\"\" width=\"2732\" height=\"1534\" srcset=\"https:\/\/www.bestsmiletech.com\/wp-content\/uploads\/2026\/05\/Clear-Aligner-Design_-Traditional-Manual-Workflow-Pain-Points-71.webp 2732w, https:\/\/www.bestsmiletech.com\/wp-content\/uploads\/2026\/05\/Clear-Aligner-Design_-Traditional-Manual-Workflow-Pain-Points-71-300x168.webp 300w, https:\/\/www.bestsmiletech.com\/wp-content\/uploads\/2026\/05\/Clear-Aligner-Design_-Traditional-Manual-Workflow-Pain-Points-71-18x10.webp 18w, https:\/\/www.bestsmiletech.com\/wp-content\/uploads\/2026\/05\/Clear-Aligner-Design_-Traditional-Manual-Workflow-Pain-Points-71-600x337.webp 600w\" sizes=\"auto, (max-width: 2732px) 100vw, 2732px\" \/><\/p>","protected":false},"excerpt":{"rendered":"<p>\u672c\u8a18\u4e8b\u3067\u306f\u3001\u77ef\u6b63\u6b6f\u79d1\u7528\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u5e02\u5834\u306b\u304a\u3051\u308b\u300cAI\u30a6\u30a9\u30c3\u30b7\u30f3\u30b0\u300d\u3068\u3044\u3046\u73fe\u8c61\u3092\u5b9a\u7fa9\u3057\u3001\u691c\u8a3c\u3059\u308b\u3002\u3053\u308c\u306f\u3001\u30d9\u30f3\u30c0\u30fc\u304c\u5f93\u6765\u578b\u306e\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u81ea\u52d5\u5316\u6a5f\u80fd\u3092\u8aac\u660e\u3059\u308b\u969b\u306b\u3001\u4eba\u5de5\u77e5\u80fd\uff08AI\uff09\u3068\u3044\u3046\u7528\u8a9e\u3092\u6d41\u7528\u3059\u308b\u73fe\u8c61\u3067\u3042\u308b\u3002 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