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{"id":4467,"date":"2024-04-13T11:11:24","date_gmt":"2024-04-13T11:11:24","guid":{"rendered":"https:\/\/aitesonics.com\/amazon-begins-rolling-out-ai-generated-review-summaries-164510165\/"},"modified":"2024-04-13T11:11:24","modified_gmt":"2024-04-13T11:11:24","slug":"amazon-begins-rolling-out-ai-generated-review-summaries-164510165","status":"publish","type":"post","link":"https:\/\/aitesonics.com\/amazon-begins-rolling-out-ai-generated-review-summaries-164510165\/","title":{"rendered":"Amazon begins rolling out AI-generated review summaries"},"content":{"rendered":"

Amazon announced<\/a> a new generative AI feature today that summarizes product reviews. Available initially to \u201ca subset of mobile shoppers in the U.S. across a broad selection of products,\u201d the artificial intelligence tool creates a recap paragraph highlighting common themes from customer feedback. The company first confirmed<\/a> in June it was testing an AI-powered summarization tool, but it now begins its official rollout. CEO Andy Jassy said earlier this month that AI is \u201cat the heart of what we do.\u201d<\/a><\/p>\n

The idea behind the ML-generated summary is to let shoppers get the gist of their peers\u2019 impressions without having to file through a swath of reviews manually. The wrap-up includes a short paragraph describing customer consensus: It\u2019s a bit like an AI-powered version of the \u201cCritics consensus\u201d and \u201cAudience says\u201d blurbs you\u2019d find on Rotten Tomatoes<\/em>. \u201cCustomers like the stability, ease of use, and performance of the digital device,\u201d one example summary shared by Amazon reads. \u201cThey mention that it\u2019s way faster, the picture \/ streaming speed is excellent, and it\u2019s a simple device to get connected. They also appreciate the performance, saying that it performs as expected and works great with LG 3D smart TV.\u201d<\/p>\n

The summary is followed by clickable tags showcasing relevant themes and common words from customer reviews. (It\u2019s similar to an existing keyword feature in the company\u2019s reviews.) Clicking on one will bounce you to full reviews addressing the chosen theme.<\/p>\n

The elephant in the room is Amazon\u2019s reputation with fake reviews. Although the retailer says<\/a> it \u201cproactively blocked over 200 million suspected fake reviews\u201d in 2022 alone \u2014and it\u2019s known to sue culprits<\/a> (and get a hand from the FTC<\/a> in extreme cases) \u2014 that hardly means the company detects and blocks all of them. There\u2019s also the question of whether AI-powered fake reviews (using ChatGPT<\/a> or similar tools) are more challenging for Amazon to spot than human-written ones.<\/p>\n

The company\u2019s strategy includes only unleashing the summarization tool on verified purchases while using AI models that allegedly detect sketchy reviews \u2014 and calling in human investigators when needed. \u201cWe continue to invest significant resources to proactively stop fake reviews,\u201d Amazon Community Shopping Director Vaughn Schermerhorn said. \u201cThis includes machine learning models that analyze thousands of data points to detect risk, including relations to other accounts, sign-in activity, review history, and other indications of unusual behavior, as well as expert investigators that use sophisticated fraud-detection tools to analyze and prevent fake reviews from ever appearing in our store. The new AI-generated review highlights use only our trusted review corpus from verified purchases, ensuring that customers can easily understand the community\u2019s opinions at a glance.\u201d<\/p>\n

This article contains affiliate links; if you click such a link and make a purchase, we may earn a commission.<\/p>\n","protected":false},"excerpt":{"rendered":"