{"id":125411,"date":"2026-05-04T05:25:06","date_gmt":"2026-05-04T05:25:06","guid":{"rendered":"https:\/\/mailinvest.blog\/index.php\/2026\/05\/04\/google-engineer-explains-black-box-ai-models-in-search\/"},"modified":"2026-05-04T05:26:11","modified_gmt":"2026-05-04T05:26:11","slug":"google-engineer-explains-black-box-ai-models-in-search","status":"publish","type":"post","link":"https:\/\/mailinvest.blog\/index.php\/2026\/05\/04\/google-engineer-explains-black-box-ai-models-in-search\/","title":{"rendered":"Google Engineer Explains ‘Black Box’ AI Models In Search"},"content":{"rendered":"

<\/a>\n
<\/p>\n

\n

Nikola Todorovic, Director of Software program Engineering at Google Search, appeared on an episode of Search Off the Record<\/a> to debate how AI advanced inside Google Search.<\/p>\n

Todorovic leads Google\u2019s SafeSearch engineering group and has labored within the search group for 15 years. He stated machine studying was troublesome to deploy broadly throughout Search as a result of complicated fashions are tougher to grasp and repair than easier techniques.<\/p>\n

He was explaining why Google couldn’t merely apply ML techniques throughout Search directly. Todorovic stated these fashions can \u201cperform like a form of a black field\u201d as a result of engineers don\u2019t at all times perceive what occurs beneath.<\/p>\n

That makes debugging tougher when search techniques change over time or when a mannequin must be changed, he stated.<\/p>\n

SafeSearch As Proving Floor<\/h2>\n

Todorovic stated SafeSearch was one of many first locations the place Google might deploy AI fashions in Search as a result of the group might isolate these techniques from the principle rating movement.<\/p>\n