Matthew Griffin, described as “The Adviser behind the Advisers” and a “Young Kurzweil,” is the founder and CEO of the World Futures Forum and the 311 Institute, a global Futures and Deep Futures consultancy working between the dates of 2020 to 2070, and is an award winning futurist, and author of “Codex of the Future” series. Regularly featured in the global media, including AP, BBC, Bloomberg, CNBC, Discovery, RT, Viacom, and WIRED, Matthew’s ability to identify, track, and explain the impacts of hundreds of revolutionary emerging technologies on global culture, industry and society, is unparalleled. Recognised for the past six years as one of the world’s foremost futurists, innovation and strategy experts Matthew is an international speaker who helps governments, investors, multi-nationals and regulators around the world envision, build and lead an inclusive, sustainable future. A rare talent Matthew’s recent work includes mentoring Lunar XPrize teams, re-envisioning global education and training with the G20, and helping the world’s largest organisations envision and ideate the future of their products and services, industries, and countries. Matthew's clients include three Prime Ministers and several governments, including the G7, Accenture, Aon, Bain & Co, BCG, Credit Suisse, Dell EMC, Dentons, Deloitte, E&Y, GEMS, Huawei, JPMorgan Chase, KPMG, Lego, McKinsey, PWC, Qualcomm, SAP, Samsung, Sopra Steria, T-Mobile, and many more.
WHY THIS MATTERS IN BRIEF
How much time do you spend reading all those reviews? Well, now AI can summarise them all for you.
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Amazon, that giant E-Tailer we all use, has announced that they’re hoping to make product choice easier for customers by using Artificial Intelligence (AI) to summarise all the reviews a product has had to save customers time so they don’t need to read all the comments. This AI review consolidation has been rolled out to select customers in the US, and is expected to be expanded. And as we see AI abused and individuals finding new ways to con and twist it to their own ends what can go wrong …
“We obsess over helping customers feel confident in their purchase decisions – even if that decision is not to make the purchase,” said Amazon. “Last year alone, 125 million customers contributed nearly 1.5 billion reviews and ratings to Amazon stores – that’s 45 reviews every second, making reviews at Amazon an incredible resource for customers.”
It also makes Amazon an incredible source to build the vocabulary of the company’s large language model.
The response to the new rollout has been positive, however, particularly regarding Amazon’s new click-feedback set of attributes such as “Stability”, “Performance” and “Ease of Use,” which will be displayed below the summarized customer review. The online shopping giant, which has previously come under fire for its business practices, believes the AI-generated review feature will be able to bypass bots and other “unauthentic” – read fake – customer commentary.
“We welcome authentic reviews – whether positive or negative – but strictly prohibit fake reviews that intentionally mislead customers by providing information that is not impartial, authentic, or intended for that product or service,” Amazon stated. “We continue to invest significant resources to proactively stop fake reviews. 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.
“The new AI-generated review highlights use only our trusted review corpus from verified purchases, ensuring that customers can easily understand the community’s opinions at a glance.”
Amazon CEO Andy Jassy told shareholders earlier this year that generative AI will be a “big deal” for the company, with much more to come. And despite concerns, Amazon believes that the “authentic” way AI will gather reviews negates the concerns about how trustworthy the new model is.
“Our Community Guidelines help both our machine learning models and our human moderators keep the community safe and the reviews relevant, while allowing customers to express themselves and their opinions with as much personal expression as possible,” Amazon said in a statement. “We believe this leads to a richer, better, and more trustworthy set of reviews. Customers who share their opinions appreciate this, and those that read them do too.”
The response to the new model has been largely positive, and fortunately nothing like the company’s 2018 move into artificial intelligence.