AI Technology Was Just Taken One Step Further— Now With Wine Reviews

To test the review synthesis abilities of the AI, the research team trained it on 143,000 human-written reviews covering more than 14,000 beers, alongside metadata for elements such as net score, alcohol percentage, and name of the product. After analysis by independent study participants, it was again established that an AI program can go through a wide range of human-written reviews and come up with its own version that covers all key points and observations.

The most obvious conclusion here would be the thought that AI programs like the one described above would eventually put a lot of wine experts and sommeliers out of their jobs. But that’s not what the team wants to accomplish. Restaurants that can’t afford sommeliers and independent sellers could use an AI toolkit like this to hawk their products. And instead of robbing professional writers and marketing experts of their jobs, an AI program of this caliber can actually assist them to write their first draft.

Coming to the general public welfare aspect, an AI-generated synthesis of multiple human reviews will help the average wine and beer consumer make a decision if he/she doesn’t have enough time to go through multiple full-length reviews. Moving to the ethical side of the debate, the team argues that an AI-generated review — and review syntheses — should be clearly labeled as such so that it can’t be plagiarized or passed off as an original human-written review.