In recent news, CNET, the tech-giant media organization, is taking the diligence to review the accuracy of all its Artificial Intelligence (AI)-written articles after there were multiple major corrections to be made.
In an attempt to move in the direction of automation, CNET has been using AI to support the creation of its news articles since the end of 2019. AI is used to generate pieces from a pool of structured and unstructured data. The AI gets trained by a human editor as well, which makes the process more efficient and accurate.
But recently, CNET had to issue a correction for an AI-written article that claimed Amazon’s Alexa AI platform was double the size of Google’s in terms of number of services. That was quickly proven to be false and CNET had to issue a correction 72 hours later.
In the wake of this and multiple other errors, CNET has now started to review all of its AI-written articles in hopes of ensuring the accuracy of its content, as well as its reputation. The process involves having editors take a closer look at the articles written by AI and make necessary corrections or changes.
As AI becomes more advanced, CNET is also trying to make sure the technology it is using is reliable. The company is exploring newer technologies and more robust processes that would be able to detect and correct errors with the help of better algorithms.
It’s worth noting that CNET is not the only organization taking this step as other tech media publications also rely on AI to a certain extent. Tech giants like Google, Apple, Amazon, and Microsoft have all officially stated that AI-driven content will play a major role in the future.
AI has been useful for CNET in the past in terms of preventing human error, but with this review process in place, it will be able to ensure even more accuracy in the content that it produces. This is good news for CNET’s readers and tech enthusiasts who now have access to reliable and accurate news and reviews.
