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A small C2PA identifier will now be included on LinkedIn AI-generated materials through an alliance with the Coalition for Content Provenance and Authenticity (C2PA). When clicked, this tag in the post’s upper right corner displays further information.
Automatic tagging is achieved by using C2PA-encoded code data already present in the image.
Artificial intelligence (AI) content standards, such as digital watermarks that are challenging to remove, are the goal of this organisation.
These standards have the backing of prominent tech companies such as OpenAI, Adobe, Google, and Microsoft.
As part of its AI tagging process, TikTok has also embraced C2PA’s requirements.
This is just one more step that social media companies are taking to make their platforms more open and to curb the spread of false information like deepfakes.
Even though most AI-generated images aren’t harmful, there are a few that could be misleading and cause major problems.
For instance, in the run-up to elections, the public can be misled and swayed by incorrect information about conflicts or fabricated photos of military attacks.
Some of the biggest names in tech are jumping on the bandwagon to support C2PA standards, including Microsoft, LinkedIn’s parent firm.
In light of the fact that AI-generated content has the potential to significantly influence an array of global elections, these endeavors are of the utmost importance.
Before repairs are completed, misleading photos can still impact public opinion, even when they are tagged as fake.
The rapid and automated identification of AI-generated content is crucial in the fight against disinformation. Making sure the general population grasps the relevance of these labels, nevertheless, presents the following obstacle.
An important first step in accomplishing this goal is standardising the reporting of AI-generated material across all platforms.
A step in the right direction towards honesty and openness in online media has been LinkedIn’s plan to mark AI-generated material.
Adopting C2PA standards will help LinkedIn keep users’ faith in the site by making it easier for them to discern real material from fake.
Read also: Harnessing analytics and campaigns to maximise value through social media
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