{"id":1675,"date":"2026-05-28T12:35:09","date_gmt":"2026-05-28T04:35:09","guid":{"rendered":"https:\/\/www.bestsmiletech.com\/?p=1675"},"modified":"2026-07-20T21:45:15","modified_gmt":"2026-07-20T13:45:15","slug":"ai-washing-marketing-basic-automation-or-rule-based-systems-as-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/www.bestsmiletech.com\/pt\/ai-washing-marketing-basic-automation-or-rule-based-systems-as-artificial-intelligence\/","title":{"rendered":"\u201cAI washing\u201d : marketing basic automation or rule-based systems as artificial intelligence"},"content":{"rendered":"

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

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

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

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>","protected":false},"excerpt":{"rendered":"

This article defines and examines the phenomenon of “AI washing” in the orthodontic software market, where vendors co-opt the language of artificial intelligence to describe conventional software automation. It identifies three prevalent forms of AI washing in clear aligner design platforms: the segmentation swap, where auto-segmentation\u2014a solved computer vision task\u2014is marketed as “AI treatment planning” despite representing the only automated step in an otherwise manual workflow; the rule-based rebrand, where expert systems following encoded human logic are presented as machine learning; and the speed implication, where rapid workflow performance achieved through human-factor engineering is attributed to AI intelligence. The article distinguishes these practices from genuine artificial intelligence, which requires machine learning, data-driven improvement, and autonomous understanding of orthodontic biomechanics and force systems. By clarifying these distinctions, the article equips clinicians and procurement teams to critically evaluate AI claims and avoid costly misinvestments in software that does not deliver transformative automation.<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"default","ast-global-header-display":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","footnotes":""},"categories":[770,1],"tags":[667,163,668,167,295,299,403,468,635,643,649,661,662,663,664,665,666],"class_list":["post-1675","post","type-post","status-publish","format-standard","hentry","category-ai-aligner-design-software","category-blog","tag-software-evaluation","tag-best-smile-tech-ai","tag-ai-claims-verification","tag-digital-orthodontics","tag-clear-aligner-design","tag-onyxceph","tag-orthodontic-software","tag-ai-treatment-planning","tag-ai-washing","tag-machine-learning-orthodontics","tag-clear-aligner-ai","tag-fake-ai","tag-rule-based-system","tag-automation-vs-ai","tag-dental-ai-marketing","tag-segmentation-automation","tag-orthoup"],"_links":{"self":[{"href":"https:\/\/www.bestsmiletech.com\/pt\/wp-json\/wp\/v2\/posts\/1675","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.bestsmiletech.com\/pt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.bestsmiletech.com\/pt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.bestsmiletech.com\/pt\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bestsmiletech.com\/pt\/wp-json\/wp\/v2\/comments?post=1675"}],"version-history":[{"count":2,"href":"https:\/\/www.bestsmiletech.com\/pt\/wp-json\/wp\/v2\/posts\/1675\/revisions"}],"predecessor-version":[{"id":2087,"href":"https:\/\/www.bestsmiletech.com\/pt\/wp-json\/wp\/v2\/posts\/1675\/revisions\/2087"}],"wp:attachment":[{"href":"https:\/\/www.bestsmiletech.com\/pt\/wp-json\/wp\/v2\/media?parent=1675"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.bestsmiletech.com\/pt\/wp-json\/wp\/v2\/categories?post=1675"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.bestsmiletech.com\/pt\/wp-json\/wp\/v2\/tags?post=1675"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}