During its Adobe MAX 2019 event, Adobe announced its Content Authenticity Initiative (CAI), the first mission of which is to develop a new standard for content attribution. `We will provide a layer of robust, tamper-evident attribution and history data built upon XMP, Schema.org and other metadata standards that goes far beyond common uses today,` the company explains in a new white paper about the initiative.
The idea behind Adobe`s CAI is that there`s no single, simple, and permanent way to attach attribution data to an image, making it hard for viewers to see who owns the image and the context surrounding its subject matter. This paves the way for image theft, as well as the spread of misinformation and disinformation, a growing problem on the modern Internet.
Adobe`s new industry standard for digital content attribution, which was announced in collaboration with Twitter and The New York Times, will potentially change this, adding a level of trust in content that may otherwise be modified or presented with an inauthentic context on social media and elsewhere.
Adobe said in November 2019 that it had a technical team:
...exploring a high-level framework architecture based on our vision of attribution, and we are inviting input and feedback from industry partners to help shape the final solution. The goal of the Initiative is for each member to bring its deep technical and business knowledge to the solution. Success will mean building a growing ecosystem of members who are contributing to a long-term solution, adoption of the framework and supporting consumers to understand who and what to trust.
The newly published white paper titled `The Content Authenticity Initiative: Setting the Standard for Digital Content Attribution` explains how this new digital content attribution system will work.
The team cites a number of `guiding principles` in the initiative, including the ability for their specifications to fit in with existing workflows, in ...
|
