Google Search Will Now Be Better, New AI Model Launched
Google has announced the expansion of content advisory for searches where its AI (Artificial Intelligence) system does not have high confidence in the overall quality of the results available for search.
Google has announced the expansion of content advisory for searches where its AI (Artificial Intelligence) system does not have high confidence in the overall quality of the results available for search.
Google Search Vice President Pandu Nayak said that this does not mean that there is no useful information available or that a particular result is of low quality. "These notices provide context about the full set of results on the page, and you can always see the results of your query, even if the advice is present," he said in a blog post.
Nayak also said in a blog post that Google has invested deeply in both information quality and information literacy for Search and News, and today we have some new developments regarding this important task.
Google launches Multitask Unified Model
Google has also introduced the latest AI model called Multitask Unified Model (MUM) to improve search result quality in 'snippets' that are shown at the top of the page for search. The company said it has systems trained to be better at detecting false premises, which are not very common, but there are cases where it is not helpful to show a featured snippet. Google said, with this update, it has reduced the triggering of Featured Snippets in these cases by up to 40 percent. Google is also adding more context to the results feature, such as how widely a source is circulated. Online reviews about a source or company, whether a company is owned by another entity, or even when our systems cannot find much information about a source.
Google has also announced a partnership with MediaWise at the Poynter Institute for Media Studies and PBS NewsHour Student Reporting Labs to develop information literacy lesson plans for teachers of middle and high school students.