You buy an item on Amazon and want to know what other buyers think about it. But this is a popular product that has garnered hundreds, if not thousands of reviews. Instead of reading them all, you’ll now be able to view an AI-generated summary designed to summarize the opinions of all those buyers.
On Monday, Amazon announced the launch of its new AI product rating option. Now available to a large sample of mobile shoppers in the US, the generative AI technology will display a short paragraph on the product page, highlighting key features and summarizing overall customer sentiment. AI-generated strengths will also let you choose a specific product attribute, such as “ease of use” or “reliability,” to see snippets of reviews mentioning that factor.
The company started testing this new feature in June, but has just rolled it out. If the option is available for a product you’re viewing, a review section will appear with a brief summary and a mention that it’s artificially generated from the text of customer reviews.
screenshot by Lance Whitney/ZDNET
Using AI to generate review summaries raises a number of questions
Amazon isn’t the only online seller to offer AI-generated product review summaries. Last week, another seller, Newegg, announced that it uses ChatGPT to condense customer reviews. The feature is called “Review Bytes”. For now, the option is only accessible on the desktop version of the website and only for products that have a certain minimum number of reviews.
Using AI to generate review summaries raises a number of questions. First of all, can we be sure that the AI accurately reflects the many opinions it summarizes? Second, how does the AI avoid or exclude fake reviews?
To answer the first question, Amazon says it continues to test and refine its AI models to improve the experience. As for the second question, fake reviews are a problem that has plagued Amazon and its customers for years. And it’s a problem the company continues to try to combat.
For AI summaries, Amazon said it only incorporates trusted reviews from verified purchases
Amazon said it continues to invest in resources aimed at stopping fake reviews before they appear. To detect fraudulent reviews and unusual behavior, the company uses machine learning models to analyze thousands of data points, including relationships with other accounts, login activity and review history. For AI summaries, Amazon said it only incorporates trusted reviews from verified purchases.
The company has also filed lawsuits against fake review brokers who contact customers through websites, social media and messaging services and trick them into writing fake reviews in exchange for money or products. free. In 2022, Amazon stopped more than 200 million suspected fake reviews from appearing online.
Source: “ZDNet.com”