AI-created content explicitly labeled on LinkedIn platforms
LinkedIn Introduces Transparent AI Labeling System to Combat Misinformation
LinkedIn, following the lead of platforms like YouTube, TikTok, and Meta, is set to label AI-generated visual content starting May 15, 2024. The objective of this labeling system is to maintain the reliability of information and create a transparent environment on the professional networking platform.
The label, known as the Content Credentials (CR) label, will be an invisible marker embedded in the digital footprint of images and videos. This marker will disclose the usage of AI tools involved in the creation and editing process, attach verified metadata covering the author’s identity and the chain of content creation steps, and ensure immutability and traceability of the content’s origin to prevent misrepresentation.
The CR label is anchored in blockchain or a similar cryptographic technology to maintain data integrity and authenticity. This is part of LinkedIn’s broader efforts to combat misinformation and bolster content credibility.
While LinkedIn's official documentation does not explicitly describe the CR label functionality, it aligns with emerging industry standards for AI content provenance labeling. The CR label is fundamentally built to tag AI-generated content with transparent metadata about its provenance on LinkedIn.
Initially, only images and videos visible in the news feed will be labeled, but this will extend to advertisements in the future. This labeling strategy can help users verify the truthfulness of content amidst the abundance of online information.
Microsoft, the owner of LinkedIn, has also integrated AI into its search engine Bing. As an investor and preferred partner of OpenAI (creator of AI ChatGPT), Microsoft is committed to advancing AI technology. Additionally, Microsoft is a part of the Coalition for Content Provenance and Authenticity (C2PA), along with LinkedIn, which further emphasizes their commitment to transparency and authenticity in digital content.
By adopting the CR label, LinkedIn is taking a significant step towards combating misinformation and fostering a more trustworthy and transparent environment for its users. This move could lead to less systematic use of AI for visual content creation, potentially reducing the mobilization of energy-intensive and environmentally impactful systems.
- LinkedIn's introduction of the Content Credentials (CR) label aligns with industry standards for AI content provenance labeling, aiming to tag AI-generated content with transparent metadata about its origin and the use of artificial-intelligence in its creation.
- In response to the growing issue of misinformation and the need for content credibility, LinkedIn is incorporating blockchain or cryptographic technology into the CR label, ensuring the label maintains data integrity and authenticity.
- With the adoption of the CR label, LinkedIn's policy-and-legislation efforts in the realm of technology and artificial-intelligence contribute to the broader goal of combating misinformation, ultimately fostering a more trustworthy and transparent environment for its users within the general-news landscape.
