We Are Volume’s Post

Meta is changing its AI label. After Meta started tagging photos with a “Made with AI” label in May, photographers complained that the company applied labels to real photos where they had used some basic editing tools. Because of the user feedback and general confusion around what level of AI is used in a photo, the company is changing the tag to “AI Info” across all of Meta’s apps. Meta said that the earlier version of the tag wasn’t clear enough for users to indicate that the image with the tag is not necessarily created with AI, but might have used AI-powered tools in the editing process. Read more from Ivan Mehta: http://tcrn.ch/4cnWKr9 #TechCrunch #technews #meta #ai #instagram #madewithai #photography

Meta changes its labels for AI-generated images after complaints from photographers. Article by Engadget. Meta is updating its “Made with AI” labels after widespread complaints from photographers that the company was mistakenly flagging non-AI-generated content. In an update, the company said that it will change the wording to “AI info” because the current labels “weren’t always aligned with people’s expectations and didn’t always provide enough context.” The company introduced the “Made with AI” labels earlier this year after criticism from the Oversight Board about its “manipulated media” policy. Meta said that, like many of its peers, it would rely on “industry standard” signals to determine when generative AI had been used to create an image. However, it wasn’t long before photographers began noticing that Facebook and Instagram were applying the badge on images that hadn’t actually been created with AI. According to tests conducted by PetaPixel, photos edited with Adobe’s generative fill tool in Photoshop would trigger the label even if the edit was only to a “tiny speck.” While Meta didn’t name Photoshop, the company said in its update that “some content that included minor modifications using AI, such as retouching tools, included industry standard indicators” that triggered the “Made with AI” badge. “While we work with companies across the industry to improve the process so our labeling approach better matches our intent, we’re updating the ‘Made with AI’ label to ‘AI info’ across our apps, which people can click for more information.” Somewhat confusingly, the new “AI info” labels won’t actually have any details about what AI-enabled tools may have been used for the image in question. A Meta spokesperson confirmed that the contextual menu that appears when users tap on the badge will remain the same. That menu has a generic description of generative AI and notes that Meta may add the notice “when people share content that has AI signals our systems can read.” Stay ahead in the world of AI! Explore the latest breakthroughs, innovations, and trends with our AI Tech Trends newsletter. 🔍🤖✨ 𝘚𝘶𝘣𝘴𝘤𝘳𝘪𝘣𝘦 𝘯𝘰𝘸 𝘧𝘰𝘳 𝘢 𝘨𝘭𝘪𝘮𝘱𝘴𝘦 𝘪𝘯𝘵𝘰 𝘵𝘩𝘦 𝘧𝘶𝘵𝘶𝘳𝘦! 🌐 🔗 𝘠𝘊𝘖𝘱𝘳𝘰𝘥𝘶𝘤𝘵𝘪𝘰𝘯𝘴.𝘤𝘰𝘮 #AITech #AI #TechTrends #ArtificialIntelligence #TechInnovation #FutureTech #AIRevolution #InnovationHub #EmergingTech #DigitalTransformation #SmartTech #DataScience #MachineLearning #DeepLearning #Automation #AIResearch #TechInsights #TechNews ♻️ 𝐑𝐞𝐩𝐨𝐬𝐭 𝐚𝐧𝐝 𝐬𝐩𝐫𝐞𝐚𝐝 𝐭𝐡𝐞 𝐥𝐨𝐯𝐞! ♻️ Follow me @Yaro Celis and hit that bell 🔔 for more.

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Meta Is Tagging Real Photos As 'Made With AI,' Says Photographers: Since May, Meta has been labeling photos created with AI tools on its social networks to help users better identify the content they're consuming. However, as TechCrunch's Ivan Mehta reports, this approach has faced criticism as many photos not created using AI tools have been incorrectly labeled, prompting Meta to reevaluate its labeling strategy to better reflect the actual use of AI in images. From the report: There are plenty of examples of Meta automatically attaching the label to photos that were not created through AI. For example, this photo of Kolkata Knight Riders winning the Indian Premier League Cricket tournament. Notably, the label is only visible on the mobile apps and not on the web. Plenty of other photographers have raised concerns over their images having been wrongly tagged with the "Made with AI" label. Their point is that simply editing a photo with a tool should not be subject to the label. Former White House photographer Pete Souza said in an Instagram post that one of his photos was tagged with the new label. Souza told TechCrunch in an email that Adobe changed how its cropping tool works and you have to "flatten the image" before saving it as a JPEG image. He suspects that this action has triggered Meta's algorithm to attach this label. "What's annoying is that the post forced me to include the 'Made with AI' even though I unchecked it," Souza told TechCrunch. Meta would not answer on the record to TechCrunch's questions about Souza's experience or other photographers' posts who said their posts were incorrectly tagged. However, after publishing of the story, Meta said the company is evaluating its approach to indicate labels reflect the amount of AI used in an image. "Our intent has always been to help people know when they see content that has been made with AI. We are taking into account recent feedback and continue to evaluate our approach so that our labels reflect the amount of AI used in an image," a Meta spokesperson told TechCrunch. "For now, Meta provides no separate labels to indicate if a photographer used a tool to clean up their photo, or used AI to create it," notes TechCrunch. "For users, it might be hard to understand how much AI was involved in a photo." "Meta's label specifies that 'Generative AI may have been used to create or edit content in this post' -- but only if you tap on the label. Despite this approach, there are plenty of photos on Meta's platforms that are clearly AI-generated, and Meta's algorithm hasn't labeled them." Read more of this story at Slashdot.

AI for photo and video processing is undoubtedly one of the strongest trends of our time. The project Artisse recently raised $6.7 million in investments. This application is essentially one among many for creating photos using AI. Like other similar apps, Artisse users first upload their photos to train the artificial intelligence with their images, and then use prompts (textual or graphical) to create new photos of themselves in various conditions, poses, and styles. However, unlike its competitors, Artisse focuses on achieving the highest level of photorealism, so that the processed photos look as close to professional photography as possible. Thanks to the hyper-realistic images created by the app, Artisse has been ranked as the top photo app in the Google Play Store at different times in various markets, including the USA, UK, Japan, South Korea, Canada, and Australia. According to the company, to date, the app has been downloaded more than 200,000 times, and users have created over 5 million photos. Initially, the app was monetized by offering 25 free photos, then charging about 20 cents per photo. This attracted an initial casual audience, about 60-70% of whom tried the app only once. Later, the company switched its monetization model to a subscription (there are now three tiers priced at $7, $15, and $40 per month, offering from 25 to 370 photos), and out of 200,000 downloads, about 4,000 have become subscribers to date. Artisse claims it tripled its revenue to $1 million ARR in December 2023 and is already approaching $2.5 million ARR. Artisse competes with apps like Remini and Lensa

The Rise of AI in Food and Commercial Photography Can you tell the differedifference between a authentic photograph and an AI photograph? In my latest blog post I talk about the use of AI visuals in advertising which can be misleading to the untrained eye. #ai #advertising

Thought-provoking musings from Alex Baker in DIYPhotography - "Where do photographers go from here?" Yep - we're right in the hype-cycle for AI. Creative people, especially, are trying to figure out whether have become redundant, whether they still have a career, how they can embrace the new tech into a new way of working, how the camera equipment manufacturers are going to respond......and no-one knows all the answers - yet. As Alex points out, it is now impossible to tell if an image is AI or a photo, but........think of the business opportunities in industries where being able to generate life-like images at scale is going to be a game-changer. Think of the advertising and branding opportunities for apparel & fashion, travel & tourism, dating, influencers....... Of course, it needs to be done in a fair, responsible and ethical way, with owners of image rights being appropriately compensated. But it can be done. #purposedriven #purposedrivenAI #AI #employeeexperience #customerexperience #inspiration #innovation #AIPhotography #AdTech

Meta Is Tagging Real Photos As 'Made With AI,' Says Photographers: Since May, Meta has been labeling photos created with AI tools on its social networks to help users better identify the content they're consuming. However, as TechCrunch's Ivan Mehta reports, this approach has faced criticism as many photos not created using AI tools have been incorrectly labeled, prompting Meta to reevaluate its labeling strategy to better reflect the actual use of AI in images. From the report: There are plenty of examples of Meta automatically attaching the label to photos that were not created through AI. For example, this photo of Kolkata Knight Riders winning the Indian Premier League Cricket tournament. Notably, the label is only visible on the mobile apps and not on the web. Plenty of other photographers have raised concerns over their images having been wrongly tagged with the "Made with AI" label. Their point is that simply editing a photo with a tool should not be subject to the label. Former White House photographer Pete Souza said in an Instagram post that one of his photos was tagged with the new label. Souza told TechCrunch in an email that Adobe changed how its cropping tool works and you have to "flatten the image" before saving it as a JPEG image. He suspects that this action has triggered Meta's algorithm to attach this label. "What's annoying is that the post forced me to include the 'Made with AI' even though I unchecked it," Souza told TechCrunch. Meta would not answer on the record to TechCrunch's questions about Souza's experience or other photographers' posts who said their posts were incorrectly tagged. However, after publishing of the story, Meta said the company is evaluating its approach to indicate labels reflect the amount of AI used in an image. "Our intent has always been to help people know when they see content that has been made with AI. We are taking into account recent feedback and continue to evaluate our approach so that our labels reflect the amount of AI used in an image," a Meta spokesperson told TechCrunch. "For now, Meta provides no separate labels to indicate if a photographer used a tool to clean up their photo, or used AI to create it," notes TechCrunch. "For users, it might be hard to understand how much AI was involved in a photo." "Meta's label specifies that 'Generative AI may have been used to create or edit content in this post' -- but only if you tap on the label. Despite this approach, there are plenty of photos on Meta's platforms that are clearly AI-generated, and Meta's algorithm hasn't labeled them." Read more of this story at Slashdot.

Meta Is Tagging Real Photos As 'Made With AI,' Says Photographers: Since May, Meta has been labeling photos created with AI tools on its social networks to help users better identify the content they're consuming. However, as TechCrunch's Ivan Mehta reports, this approach has faced criticism as many photos not created using AI tools have been incorrectly labeled, prompting Meta to reevaluate its labeling strategy to better reflect the actual use of AI in images. From the report: There are plenty of examples of Meta automatically attaching the label to photos that were not created through AI. For example, this photo of Kolkata Knight Riders winning the Indian Premier League Cricket tournament. Notably, the label is only visible on the mobile apps and not on the web. Plenty of other photographers have raised concerns over their images having been wrongly tagged with the "Made with AI" label. Their point is that simply editing a photo with a tool should not be subject to the label. Former White House photographer Pete Souza said in an Instagram post that one of his photos was tagged with the new label. Souza told TechCrunch in an email that Adobe changed how its cropping tool works and you have to "flatten the image" before saving it as a JPEG image. He suspects that this action has triggered Meta's algorithm to attach this label. "What's annoying is that the post forced me to include the 'Made with AI' even though I unchecked it," Souza told TechCrunch. Meta would not answer on the record to TechCrunch's questions about Souza's experience or other photographers' posts who said their posts were incorrectly tagged. However, after publishing of the story, Meta said the company is evaluating its approach to indicate labels reflect the amount of AI used in an image. "Our intent has always been to help people know when they see content that has been made with AI. We are taking into account recent feedback and continue to evaluate our approach so that our labels reflect the amount of AI used in an image," a Meta spokesperson told TechCrunch. "For now, Meta provides no separate labels to indicate if a photographer used a tool to clean up their photo, or used AI to create it," notes TechCrunch. "For users, it might be hard to understand how much AI was involved in a photo." "Meta's label specifies that 'Generative AI may have been used to create or edit content in this post' -- but only if you tap on the label. Despite this approach, there are plenty of photos on Meta's platforms that are clearly AI-generated, and Meta's algorithm hasn't labeled them." Read more of this story at Slashdot.

"AI Has Already Created As Many Images As Photographers Have Taken in 150 Years." - though being only a quantitative indicator this gives a remarkable perspective of how quickly GenAI is affecting content generation ... https://lnkd.in/gZhitdB4 #cto #ctoinsights #genai #digitalacceleration #digitalbusinesstransformation