Meta wants to label all AI images

I did not foresee that 2024 will see Meta take center-stage as champion of the people. ?? Not only is the $1.2T tech giant bank-rolling the GenAI open-source rebel alliance, this morning they also called for an industry-wide effort to label AI-generated content in response to escalating concerns that deep-fakes will be used to manipulate voters ahead of upcoming national elections. It is notable to see Meta take the lead in this effort because of 2 key reasons: ? A company once widely condemned for its missteps is now leading the charge to protect our digital ecosystem. After taking it on the chin for their role in the 2016 election debacle, Meta's pivot towards transparency and accountability is not just commendable—it's deeply strategic. ?? By leading the charge on this, Meta isn't just aiming to safeguard the integrity of elections, but it is also positioning itself as a leader in an industry-wide march towards more ethical use of GenAI. Meta's move is a masterclass in turning liability into leadership and an attempt at changing the narrative. ? Meta is the leader in social media market share, with billions of users across Facebook, Messenger, Instagram, WhatsApp, and Threads (remember that?). They have the power and reach to single-handedly set the standard for the future of digital communication, and seems like they're stepping up to that responsibility. This isn't just about slapping a "Made by AI" sticker on images; it's a foundational shift towards restoring faith in digital content. And in an age where AI can conjure up everything from photorealistic landscapes to eerily convincing fake news, that's no small feat. Companies that can clearly demarcate the line between human and machine-generated content will gain user trust. What ever their motivation - noble or strategic, or both - I am happy to see them taking the lead, because the rest of the tech ecosystem will be compelled to keep up. https://lnkd.in/grkJxVzt

OpenAI and Meta are both concerned about AI's potential to spread misinformation, which is why they're taking steps to integrate C2PA standards into their products. These standards track a piece of media's origin through metadata, but not everyone is convinced C2PA is a silver bullet. Kevin Guo, founder and CEO of AI-powered content moderation company Hive, says that while Meta and OpenAI's efforts are laudable, there are too many ways for bad actors to get around the C2PA standards, and the likelihood of all the AI content providers agreeing on a single standard are slim to none. Even so, their efforts are worth noting, as they could give a sneak preview of what regulation will eventually look like when the US Government gets around to it. For more details, check out the full story at Inc. Magazine, and let me know if your company is looking into any similar standards! https://lnkd.in/e9NBAcfq

?? NEW TODAY: Meta is taking a significant step forward in transparency and responsibility within the digital space. In the upcoming months, the tech giant will introduce a new policy requiring all AI-generated content on Facebook, Instagram, and Threads to be labeled accordingly. This starts with all AI-generated images, irrespective of whether they were created using Meta AI or AI tools of other leading companies like Google, OpenAI, Microsoft, Adobe, Midjourney, and Shutterstock. ?? But what does this mean for other types of AI-generated content? Unlike images, many AI tools for video and audio content do not currently incorporate "watermarks" or markers to signify AI involvement. To address this, Meta will implement a disclosure and label tool for posts featuring photorealistic videos or realistic-sounding audio that has been digitally created or altered. And yes, there will be penalties for non-compliance. ?? My Take: This move by Meta underscores the growing importance of ethical standards and transparency in the era of AI. As AI technologies become increasingly sophisticated and widespread, distinguishing between what is real and what is AI-generated becomes crucial to building trust and credibility with users. What are your thoughts on this new policy by Meta? How do you think it will impact content creation and consumption on social media? #AI #Meta #DigitalEthics #ContentCreation

For those who know me, you know I geek out over content and data. And when it comes to data, ethically sourced is the way to go. It's exciting to see Meta advocating for watermarking on AI-generated content, and promoting standardized protocols for this technology, not just themselves, but amongst their peers. In a time where #deepfake is rampant, having an industry standard to counter the spread of misinformation is crucial. I invite you to take a look at #IPTC and #C2PA's guidelines on digital content certification and traceability. I'm hopeful big tech, news and media organizations, the creatives, and policymakers will come together in the near future and agree on a unified tool to implement this needed watermark traceability. #Meta #Microsoft #amazon #Adobe #socialmedia #aistandards #aipolicy #ethicaldata https://lnkd.in/g7yRpYth

?? NEW TODAY: Meta is taking a significant step forward in transparency and responsibility within the digital space. In the upcoming months, the tech giant will introduce a new policy requiring all AI-generated content on Facebook, Instagram, and Threads to be labeled accordingly. This starts with all AI-generated images, irrespective of whether they were created using Meta AI or AI tools of other leading companies like Google, OpenAI, Microsoft, Adobe, Midjourney, and Shutterstock. ?? But what does this mean for other types of AI-generated content? Unlike images, many AI tools for video and audio content do not currently incorporate "watermarks" or markers to signify AI involvement. To address this, Meta will implement a disclosure and label tool for posts featuring photorealistic videos or realistic-sounding audio that has been digitally created or altered. And yes, there will be penalties for non-compliance. ?? My Take: This move by Meta underscores the growing importance of ethical standards and transparency in the era of AI. As AI technologies become increasingly sophisticated and widespread, distinguishing between what is real and what is AI-generated becomes crucial to building trust and credibility with users. What are your thoughts on this new policy by Meta? How do you think it will impact content creation and consumption on social media? #AI #Meta #DigitalEthics #ContentCreation

Spoke with Meta's Nick Clegg about the company's plan to start labeling AI-generated images from a handful of other tech companies on Facebook, Instagram and Threads. It's a step toward the same kind of cross-company coordination that already happens for widely banned content on social media, like depictions of mass violence. The tech is ready for images, he said, though it is still being worked on for audio and video and isn't in the works at all for text. More details in the story. https://lnkd.in/d9A5t_4V

WOW!!!!!!!! -- I did not think it possible to see a NY Times article that would be combining IPTC , Facebook and embedded metadata all in the same place. Remarkable. And long overdue. --- Of course, let's be clear. FB didn't (and still doesn't) care about copyright or other truth or provenance or other items. They talk about authenticity, but then approve manipulated videos and propaganda. So it's not all rosy. They only care about not poisoning their own datasets. "Meta is homing in on a series of technological specifications called the?IPTC?and?C2PA?standards. They are information that specifies whether a piece of digital media is authentic in the metadata of the content. Metadata is the underlying information embedded in digital content that gives a technical description of that content. Both standards are already widely used by news organizations and photographers to describe photos or videos." #metadatamanagement (is a thing) :-) David Riecks and Brendan Quinn

It is nice to see that IBM and Meta are both working diligently to develop a close-knit community of dedicated developers to maintain ethical standards at legacy companies and even startups through the collaborative effort of the AI Alliance. Not to mention, within the case study conducted by IBM, it shows that "79% of executives say AI ethics is important to their enterprise-wide approach," yet less than 25% have operationalized ethics governance principles. By highlighting the difference between executives who acknowledge the importance of ethical frameworks and those who are currently putting measures into practice. The more we discuss stories like this in my CS 3090 Ethics in Computing course, the more I see how important it is to develop an ethical framework and practice for software companies focused on AI. #artificialintelligence

NEW THIS MORNING: Nick Clegg appeared exclusively on 'Good Morning America' to break the news that in the coming months Meta will expand labels for AI-generated content that appears on Facebook, Instagram and Threads. Watch below: https://lnkd.in/e-VSRbeD

NEW: In a?new post?this morning, Meta announced it will identify and label AI-generated content on Facebook, Instagram and Threads — though it cautioned it is “not yet possible to identify all AI-generated content.” The announcement comes two weeks after pornographic AI-generated?deepfakes of singer Taylor Swift?went viral on Twitter, leading to condemnation from fans and lawmakers, as well as global headlines. It also comes as Meta?comes under pressure?to deal with AI-generated images and doctored videos in advance of the 2024 US elections. https://lnkd.in/gXEVRy3H