Meta recently announced an update to their artificial intelligence (AI) content detection label, changing it from “Made with AI” to “AI Info.” This decision was made in response to criticism from Instagram influencers and photographers who felt that their original posts were being incorrectly labelled as AI-generated content.
The company acknowledged that the previous label did not align with people’s expectations and often lacked context. This led to confusion among users who were unsure if the content they were viewing had been edited using AI tools. The new “AI Info” label aims to provide more clarity and context for users.
By updating their approach to labelling AI-generated content, Meta hopes to eliminate the confusion surrounding edited images and videos. The new label will inform users that AI tools were used in the creation or editing of the content. Users can click on the label to access more information about the specific AI technology used, such as generative AI.
Meta stated that they adhere to industry-standard indicators, such as the Coalition for Content Provenance and Authenticity (C2PA) and the International Press Telecommunications Council (IPTC) standards, to determine if content was created using AI. Despite these measures, there are still concerns about the accuracy of the AI detection tools, as many AI-generated images remain undetected by the company.
One of the challenges Meta faces is the widespread use of the “AI Info” label to flag even minor edits made using AI tools. This practice risks diluting the true purpose of the label, which is to identify deepfakes and manipulative AI content. There is a need for continued collaboration with industry partners to improve the accuracy of AI content detection.
Meta’s update to the AI content detection label is a step in the right direction towards improving transparency and clarity for users. However, there are still challenges to overcome in accurately detecting AI-generated content and ensuring that the label serves its intended purpose. Continued collaboration and adherence to industry standards will be essential in addressing these concerns.