Would you trust AI-generated reviews? The next Amazon product you buy may have them
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Another day brings another use for generative AI. As companies worldwide are seeking ways they can add artificial intelligence tools to their workflow, Amazon is testing out generative AI in one area that was already controversial: product reviews.
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How is Amazon addressing its fake review problem with AI?
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Summarizing Reviews
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To Track Down
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cracks down on
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to identify damaged goods
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testing an AI-generated product review feature
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using generative A.I
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may soon offer generative
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To Enhance Warehouse Operations and Reduce Shipments of Damaged Items
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sum up product reviews
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to crack down on
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feature that summarizes
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to sum up product reviews
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summaries of product
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uses artificial intelligence systems to prevent
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upping its use of artificial intelligence
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to summarize customer product reviews and highlight product pros and cons
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developing new AI-powered tools
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adds it before all the customer reviews but adds a disclaimer in fine print below it that reads "AI-generated from the text of customer reviews."
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Summarizing Product Reviews
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then
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investing in "sophisticated tools" to help flag suspicious behaviour
Amazon's product reviews have long been a way for dubious sellers to scam customers by writing false reviews or changing a product listing after it's gotten a lot of good reviews to make a new product more attractive. The Amazon reviews area resembles a battleground where customers wade through the muck while Amazon fights to maintain their trust against some dishonest sellers trying to get their products past the checkout page. Now, generative AI is entering the fray to streamline it all.
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How does Amazon's use of generative AI fit into the larger trend of companies investing in AI?
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to help users find the right product
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transform and improve virtually every customer experience
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to mitigate shipment issues while enhancing productivity
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The feature is a building block of Amazon's AI ambitions
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to reduce the amount of damaged items sent out, while speeding up picking and packing operations
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to crack down on fake reviews
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to summarize user reviews on products
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to prevent fake reviews on the platform that can intentionally mislead customers
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to tackle the burgeoning problem of fake reviews
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to help inform customers' shopping decisions
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to summarize the reviews of certain product listings
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The e-commerce giant is using generative AI to summarize the reviews of certain product listings. The objective, says Amazon, is to save shoppers from having to wade through all that muck, and instead deliver the gist of other customers' thoughts. Not every product is getting the gen-AI treatment, however, and we've only seen this in mobile listings, but I found a few examples to share how the company's doing this:
More Context
How is Amazon integrating AI into its platform to help customers find the right product?
marketplacepulse.com
Summarizing Reviews
silicon.co.uk
To Track Down Fake Reviews
bbc.com
cracks down on fake reviews
deliveryx.net
to identify damaged goods
businessinsider.com
review feature
cnbc.com
using generative
indianexpress.com
reviews
eseller365.com
to mitigate shipment issues while enhancing productivity
ctvnews.ca
sum up product reviews
kilgorenewsherald.com
to crack down on fake reviews
mobilesyrup.com
testing an AI feature that summarizes reviews
wsiltv.com
to sum up product reviews
searchengineland.com
summaries of product reviews
uk.finance.yahoo.com
prevent fake reviews
uk.movies.yahoo.com
tackle the burgeoning problem of fake reviews
cbsnews.com
summarize customer product reviews and highlight product pros and cons
technologyforyou.org
adds it before all the customer reviews but adds a disclaimer in fine print below it that reads "AI-generated from the text of customer reviews."
analyticsinsight.net
Summarizing Product Reviews
In this example, the Pixel 6a's 4,363 reviews are summarized into one short paragraph using generative AI. Each summary gathers both positive and negative feedback, shows highlighted keywords in bold, and ends with customers' mixed opinions.
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What were the likes and dislikes of customers for the "Magic Mixies" toy according to AI-generated summary?
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fun factor, appearance, value, performance, quality, charging, and leakage
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liked, or disliked
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positive and negative
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liked and disliked
"Customers have praised the phone's camera, memory, and system. The phone is also considered a good value for the price. However, some customers have had negative experiences with the fingerprint sensor, which doesn't work well and has caused connectivity issues", the AI-generated review says.
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Each time an AI-generated summary of a product's reviews appears in a listing, Amazon adds it before all the customer reviews but adds a disclaimer in fine print below it that reads "AI-generated from the text of customer reviews."
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What are the potential implications of Amazon using generative AI to summarise reviews for e-commerce platforms?
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could be useful in guiding customers toward newer reviews
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transform and improve virtually every customer experience
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mitigate shipment issues while enhancing productivity
marketplacepulse.com
turning all reviews for each product into a few sentences that best describe consumer feedback
deliveryx.net
reduce the amount of damaged items sent out, while speeding up picking and packing operations
kilgorenewsherald.com
crack down on fake
uk.finance.yahoo.com
prevent fake reviews on the platform that can intentionally mislead customers
uk.movies.yahoo.com
bamboozle consumers into buying inferior products
cbsnews.com
highlight product pros and cons
ctvnews.ca
to cut down on the time shoppers spend sifting through reviews before making a purchase
mobilesyrup.com
to revolutionize the shopping experience for Amazon customers
technologyforyou.org
to save shoppers from having to wade through all that muck, and instead deliver the gist of other customers' thoughts
According to CNBC, Amazon has confirmed that it is testing the feature and investing significantly in generative AI across all its businesses.
The Apple Watch also gets a generative AI review summary Screenshot: Maria Diaz/ZDNET
There are quite a few product listings with AI-generated review summaries, from toys to tech devices. The Apple Watch's reviews on Amazon are also summarized by AI, as shown in the image above.
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What other potential uses are there for AI in e-commerce besides summarising reviews?
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identify damaged goods
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help weed out fake
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help users find the right product
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Enhance Warehouse Operations and Reduce Shipments of Damaged Items
indianexpress.com
help customers find the right product
marketplacepulse.com
identifies each product's most important features and criticisms
kilgorenewsherald.com
crack down on fake
cbsnews.com
help guide customers toward newer products
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prevent fake
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to "hallucinate" details
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Everything from sign-in activity and review history to an author's relationship with other online accounts
techradar.com
detect fake reviews and scams
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deliver the gist of other customers' thoughts
standard.co.uk
sniff out patterns of behaviour and suspicious wording
"Customers have praised its excellent quality, great product, nice look, intuitive design, effortless pairing with iPhone, convenience, accuracy in tracking fitness and health, and high-quality features", the summary says of the Apple Watch. "However, some customers have had negative experiences with charging, lack of charger, connectivity issues, and battery life".
As a shopper that reads a lot of reviews before committing to a big purchase, I find these summaries to be quite useful in giving me the essence of what many buyers have experienced with the product. However, I'll still be wading through reviews even after reading these summaries.
These AI-generated reviews do nothing to combat bogus reviews and dodgy sellers, so it's still worth doing the legwork before checking out.