Google modifies AI Overviews following a turbulent rollout
Divyang Garg
President New Technology | Sr. Solutions Architect | Data Analyst & Engineering | Cloud | IoT | Big Data | AI/ML | Reporting
Google is implementing adjustments to its AI Overviews following a bumpy initial rollout, during which the AI-driven search feature produced what the company described as "odd and erroneous" responses to users' online queries.
Introduced last month at Google's annual I/O developer conference, AI Overviews have since appeared at the top of Google Search results when users seek information on specific topics. These AI-generated text boxes are supplemented with links to external websites, a departure from the traditional search results layout.
According to a blog post by Google VP Liz Reid, the AI Overviews results are generated using the company's large language model (LLM), Gemini, and are intended to provide users with both a brief overview of a topic and links for further exploration.
Google technology expert Alex Joseph explained that AI Overviews have the capability to handle more complex queries compared to traditional Google Search. "With an AI Overview, [Google] can synthesize a vast amount of information to quickly provide users with the answers they seek," Joseph said.
Rather than inundating users with pages of search results to sift through, AI Overviews streamline the process by presenting summarized information and concise answers, noted technology journalist Chris Stokel-Walker.
However, Stokel-Walker highlighted concerns regarding the accuracy of information presented through AI Overviews. He emphasized that users have grown accustomed to the reliability of Google Search results over the years and expressed apprehension about AI-generated content lacking the same level of accuracy.
The rollout of AI Overviews has not been without its share of glitches. Users have reported instances of the AI providing inaccurate or nonsensical responses, including advising users to consume small rocks daily and suggesting mixing glue into tomato sauce for better cheese adhesion on pizza.
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Despite these concerns, Google has made more than a dozen technical improvements to AI Overviews in response to user feedback. These enhancements include limiting the inclusion of user-generated and satirical content in data used to generate AI Overviews, as well as refining quality protections for health-related content.
Google has emphasized that AI Overviews generally do not generate inaccurate information intentionally but may occasionally misinterpret queries or lack sufficient data to provide accurate responses.
Regarding revenue implications, Stokel-Walker pointed out that prioritizing AI Overviews over traditional search results could impact website traffic and ad revenue for publishers. He noted the irony that AI Overviews rely on content generated by the websites they now appear ahead of in search results.
Google has stated that its testing indicates AI Overviews' links receive more clicks than typical search result pages, and the company remains committed to driving valuable traffic to publishers and creators.
As Google continues to roll out new features like AI Overviews, it faces increasing competition from companies developing generative AI technologies. This competition is driving Google to innovate rapidly to maintain its position as a leader in delivering information through search and advertising.
In the face of these challenges, Google is under pressure to balance innovation with maintaining the trust and reliability users have come to expect from its products.