Amazon begins rolling out AI-generated review summaries

Comments

• StarServal@kbin.social ⁨1⁩ ⁨year⁩ ago

  I noticed this while shopping for something last night and also immediately noticed a huge, glaring flaw in it. It doesn’t account for products with multiple different listings under the same product page. So for example you are looking at a page that has one option for pants and a second option for trucks (just an example) where the product reviews mix reviews for both, the AI bot will think they’re all for one product. You’ll see something like “Most customers feel they fit just right, while others think they don’t get enough gas mileage.”

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• Amphobet@lemmy.dbzer0.com ⁨1⁩ ⁨year⁩ ago

  We continue to invest significant resources to proactively stop fake reviews,

  What a fucking joke, LOL.

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  • doctortofu@reddthat.com ⁨1⁩ ⁨year⁩ ago

    We continue to invest significant resources to proactively stop fake reviews sell more dropshipped fake garbage.

    Fixed it for them

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• sndrtj@feddit.nl ⁨1⁩ ⁨year⁩ ago

  What a way to make them even more useless…

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• autotldr@lemmings.world [bot] ⁨1⁩ ⁨year⁩ ago

  This is the best summary I could come up with:

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  Available initially to “a subset of mobile shoppers in the U.S. across a broad selection of products,” the artificial intelligence tool creates a recap paragraph highlighting common themes from customer feedback.

  The idea behind the ML-generated summary is to let shoppers get the gist of their peers’ impressions without having to file through a swath of reviews manually.

  There’s also the question of whether AI-powered fake reviews (using ChatGPT or similar tools) are more challenging for Amazon to spot than human-written ones.

  The company’s strategy includes only unleashing the summarization tool on verified purchases while using AI models that allegedly detect sketchy reviews — and calling in human investigators when needed.

  “We continue to invest significant resources to proactively stop fake reviews,” Amazon Community Shopping Director Vaughn Schermerhorn said.

  “This 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.

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  I’m a bot and I’m open source!

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  • ThePantser@midwest.social ⁨1⁩ ⁨year⁩ ago

    Look a AI summary bot, ironic.

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  • sndrtj@feddit.nl ⁨1⁩ ⁨year⁩ ago

    Very meta.

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• sexy_peach@feddit.de ⁨1⁩ ⁨year⁩ ago

  The AI revolution will be tiny summary bots and even worse journalism. Nothing revolutionized at all…

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• FaceDeer@kbin.social ⁨1⁩ ⁨year⁩ ago

  Once again, a !technology thread that's full of nothing but negativity. Wouldn't most people have agreed before this that Amazon's review system was kinda sucky and could use improvement? Will having these summaries make the reviews any worse? Let's see how it goes.

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