#synthid

[aktionfsa-blog-blog]

KI-generiertes mit Wasserzeichen kennzeichnen

SynthID soll Open Source werden

Das ist eine Forderung, die das KI-Gesetz der Europäischen Union nach dem Ende der Übergangsfrist am 2. August 2026 von Anbietern verlangt. Diese Kennzeichnung darf auch nicht irgendwo versteckt angebracht werden, sondern soll dann maschinenlesbar sein. Über den dafür notwendigen Standard muss allerdings noch entschieden werden.

Dass dies unbedingt notwendig ist, hatte  eine länderübergreifende Studie des CISPA, des Helmholtz-Zentrum für Informationssicherheit in Zusammenarbeit, mit mehreren deutschen Universitäten im Mai 2024 festgestellt.

Zeit.de zitiert aus der Studie: "KI-generierte Bilder, Texte und Audiodateien sind so überzeugend, dass Menschen diese nicht mehr von menschengemachten Inhalten unterscheiden können." Mehr als 3000 Menschen waren nicht in der Lage Inhalte der KI-Programme ChatGPT oder Midjourney von "echten" Webinhalten zu unterscheiden.

Die Google-Tochter DeepMind ermöglicht bereits seit August 2023 die Verwendung eines Wasserzeichens in KI-generierten Bildern mit einem Verfahren namens SynthID. Auch für die Texterstellung mit dem Sprachmodell Gemini ist SynthID inzwischen verfügbar. Google hat nun angekündigt SynthID ab sofort kostenlos und als Open-Source-Anwendung für Entwickler und Unternehmen anzubieten.

Damit ist wieder einer der großen Internetkonzerne schneller mit der "Standardsetzung" als die Politik ...

Mehr dazu bei https://www.zeit.de/digital/internet/2024-10/ki-generierte-medien-fotos-texte-identifikation-wasserzeichen

Kategorie[21]: Unsere Themen in der Presse Short-Link dieser Seite: a-fsa.de/d/3Dv Link zu dieser Seite: https://www.aktion-freiheitstattangst.org/de/articles/8946-20241027-ki-generiertes-mit-wasserzeichen-kennzeichnen.html

[megataskdubai]

Google New Tool To Detect AI-Generated Images

Contact Now ⤵️

📲 +971-54-587-1570 📩 info@megataskweb.com

[mpsiteweb]

Google Mengenalkan SynthID

Di era di mana kecerdasan buatan (AI) terus mengembangkan kapabilitasnya, Google telah mengambil langkah inovatif dengan meluncurkan SynthID. Produk terbaru ini adalah terobosan dalam dunia pengenalan gambar yang dihasilkan oleh AI, membawa pengalaman identifikasi gambar ke tingkat yang lebih tinggi dan akurat. Mari kita telusuri lebih jauh tentang apa itu SynthID dan mengapa hal ini menjadi berita yang begitu menarik dalam dunia teknologi.

Menggali Konsep SynthID: Identifikasi Gambar Masa Depan

SynthID adalah sistem pengenalan gambar yang menerapkan pendekatan revolusioner berbasis kecerdasan buatan. Produk ini dirancang untuk mengidentifikasi gambar yang dihasilkan oleh AI, tidak hanya dengan keakuratan yang lebih tinggi, tetapi juga dengan kecepatan dan efisiensi yang luar biasa. Teknologi ini mampu mengatasi tantangan dalam mengenali gambar yang kompleks dan terkadang samar, seperti lukisan yang dibuat oleh AI atau gambar sintetis.

Mengapa SynthID Penting?

Kontrol dan Keamanan: Dalam lingkungan di mana manipulasi gambar semakin canggih, SynthID membantu mengidentifikasi gambar yang telah dihasilkan oleh AI, sehingga memitigasi risiko pemalsuan atau manipulasi yang tidak sah. Validasi Konten Visual: Dalam konteks media dan platform berbagi, SynthID dapat membantu mengonfirmasi keaslian gambar dan menghindari penyebaran informasi yang salah atau manipulasi gambar yang merugikan. Pengembangan AI Lebih Lanjut: Dengan mampu mengenali gambar yang dihasilkan oleh AI, SynthID berpotensi memberikan umpan balik berharga kepada para pengembang AI untuk menghasilkan gambar yang lebih realistis dan valid. Bagaimana SynthID Bekerja?

SynthID menggabungkan teknik pengenalan gambar yang kuat dengan pembelajaran mesin yang canggih. Ini melibatkan proses pelatihan model AI menggunakan kumpulan data yang luas dan beragam, termasuk gambar yang dihasilkan oleh berbagai algoritma generatif. Dengan pengolahan data yang mendalam, model ini dapat memahami ciri-ciri unik dari gambar yang dihasilkan oleh AI dan membedakannya dari gambar yang dihasilkan oleh manusia atau alat lain.

Manfaat Utama SynthID:

Akurasi yang Meningkat: Dengan kemampuan mengidentifikasi gambar AI yang semakin canggih, SynthID meningkatkan tingkat akurasi dan keandalan dalam pengenalan gambar. Perlindungan Integritas Konten: Dalam era di mana informasi semakin penting, SynthID membantu dalam melindungi integritas gambar dan konten visual yang dibagikan di platform daring. Katalis Pengembangan AI: Dengan memberikan umpan balik berharga kepada pengembang, SynthID dapat berkontribusi pada pengembangan lebih lanjut dalam bidang kecerdasan buatan. Kesimpulan: Menuju Masa Depan Pengenalan Gambar

Google’s SynthID mewakili langkah penting dalam evolusi kecerdasan buatan. Kemampuan untuk mengenali gambar yang dihasilkan oleh AI memiliki implikasi besar di berbagai industri, mulai dari media hingga keamanan siber. SynthID membuka jalan bagi identifikasi gambar yang lebih akurat dan efektif, membentuk dasar yang lebih kuat untuk penggunaan teknologi AI di masa depan. Dengan langkah ini, Google sekali lagi membuktikan komitmen mereka untuk mendorong batas-batas inovasi dalam dunia teknologi.

© Google Mengenalkan SynthID: Revolusi Identifikasi Gambar Berbasis AI Source: https://www.mpsite.my.id/2023/09/google-mengenalkan-synthid-revolusi.html

[nerdnag]

Today, Google DeepMind and Google Cloud launched SynthID, which is a tool for watermarking and identifying AI-generated images.

The watermark is indiscernible to the naked human eye but can apparently withstand common image manipulation like crops and color adjustments. It isn't foolproof, as stated by Google themselves, but it's "a promising technical approach."

"While generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information — both intentionally or unintentionally. Being able to identify AI-generated content is critical to empowering people with knowledge of when they’re interacting with generated media, and for helping prevent the spread of misinformation."

My initial thought when I saw this was that in order for this to work, not only do people need to actively choose to watermark their AI images (with Google's tool), it also seems like others who want to find out whether an image has been watermarked need to use the specific, no doubt proprietary technology developed by Google. If this is going to be a useful tool in the long run, there needs to be a standard for what technology generative tools use, and that standard tech then needs to be forcefully applied to all AI-generated imagery regardless of which tool is used - otherwise it's neither practical nor trustworthy. (How are we supposed to trust that an image isn't AI-generated if watermarking it as such is voluntary?)

It's the age-old problem: In order for this to have any effect, it needs to be widely implemented; but it can't be widely implemented if it doesn't exist in the first place, and I suppose we have to start somewhere.

[frank-olivier]

The AI Dilemma: Balancing Benefits and Risks

One of the main focuses of AI research is the development of Artificial General Intelligence (AGI), a hypothetical AI system that surpasses human intelligence in all areas. The AGI timeline, which outlines the expected time frame for the realization of AGI, is a crucial aspect of this research. While some experts predict that AGI will be achieved within the next few years or decades, others argue that it could take centuries or even millennia. Regardless of the time frame, the potential impact of AGI on human society and civilization is enormous and far-reaching.

Another important aspect of AI development is task specialization, where AI models are designed to excel at specific tasks, improving efficiency, productivity, and decision-making. Watermarking technology, which identifies the source of AI-generated content, is also an important part of AI development and addresses concerns about intellectual property and authorship. Google's SynthID technology, which detects and removes AI-generated content on the internet, is another significant development in this field.

However, AI development also brings challenges and concerns. Safety concerns, such as the potential for AI systems to cause harm or injury, must be addressed through robust safety protocols and risk management strategies. Testimonials from whistleblowers and insider perspectives can provide valuable insight into the challenges and successes of AI development and underscore the need for transparency and accountability. Board oversight and governance are also critical to ensure that AI development meets ethical and regulatory standards.

The impact of AI on different industries and aspects of society is also an important consideration. The potential of AI to transform industries such as healthcare, finance and education is enormous, but it also raises concerns about job losses, bias and inequality. The development of AI must be accompanied by a critical examination of its social and economic impacts to ensure that the benefits of AI are distributed fairly and the negative consequences are mitigated.

By recognizing the challenges and complexities of AI development, we can work toward creating a future where AI is developed and deployed in responsible, ethical and beneficial ways.

Ex-OpenAI Employee Reveals Terrifying Future of AI (Matthew Berman, June 2024)

Ex-OpenAI Employees Just Exposed The Truth About AGI (TheAIGRID, October 2024)

Anthropic CEO: AGI is Closer Than You Think [machines of loving grace] (TheAIGRID, October 2024)

AGI in 5 years? Ben Goertzel on Superintelligence (Machine Learning Street Talk, October 2024)

Generative AI and Geopolitical Disruption (Solaris Project, October 2024)

Monday, October 28, 2024

[shivamthakrejr]

Users will have to opt-in to both Labs and the SGE feature to use it, however.

Back in the olden days of last December, we had to go to specialized websites to have our natural language prompts transformed into generated AI art, but no longer! Google announced Thursday that users who have opted-in for its Search Generative Experience (SGE) will be able to create AI images directly from the standard Search bar.

SGE is Google’s vision for our web searching future. Rather than picking websites from a returned list, the system will synthesize a (reasonably) coherent response to the user’s natural language prompt using the same data that the list’s links led to. Thursday’s updates are a natural expansion of that experience, simply returning generated images (using the company’s Imagen text-to-picture AI) instead of generated text. Users type in a description of what they’re looking for (a Capybara cooking breakfast, in Google’s example) and, within moments, the engine will create four alternatives to pick from and refine further. Users will also be able to export their generated images to Drive or download them.

What’s more, users will be able to generate images directly in Google Images. So, if you’re looking for (again, Google’s example) “minimalist halloween table settings” or “spooky dog house ideas,” you’ll be able to type that into the search bar and have Google generate an image based on it. What’s really cool is that you can then turn Google Lens on that generated image to search for actual, real-world products that most closely resemble what the computer hallucinated for you.

There are, of course, a number of limitations built into the new features. You’ll have to be signed up for Google Labs and have opted-in to the SGE program to use any of this. Additionally, the new image generation functions will be available only within the US, in English-language applications and for users over the age of 18. That last requirement is a just bit odd given that Google did just go out of its way to make the program accessible to teens.

The company is also expanding its efforts to rein in the misuse of generative AI technology. Users will be blocked from creating photorealistic images of human faces. You want a photorealistic capybara cooking bacon, that’s no problem. You want a photorealistic Colonel Sanders cooking bacon, you’re going to run into issues and not just in terms of advertising canon. You’ll also be prevented from generating images of “notable” people, so I guess Colonel Sanders is out either way.

Finally, Google is implementing the SynthID system developed by DeepMind announced last month. SythID is a visually undetectable metadata watermark that denotes a generated image as such, as well as provides information on who, or what, created it and when. The new features will be available through the Labs tab (click the flask icon) in the Google app on iOS and Android, and on Chrome desktop to select users today and expanding to more in the coming weeks.

[stablediffusion]

I've had a lot of fun making fakemon (or Synthids as I call them)

Give us a follow on Twitter: @StableDiffusion

H/t m3thlol

[moneymovespress]

Google Photos Will Now Add AI Watermarks to Magic Editor Enhanced Images

Google Photos is getting a new functionality that will allow people to check whether an image was enhanced using artificial intelligence (AI) or not. Images edited using Reimagine in Magic Editor will be labelled using SynthID, a watermarking technology by the Mountain View-based tech giant. The label can be viewed within the ���About this image” section of the image and can also be detected by…

[quotejungle]

始まりは、有名人が予想外の曲を歌うディープフェイク動画が拡散したことだった。その後、政治家が実際には言っていないことを言う動画が放映された。いつの間にか、AI が生成した超リアルなコンテンツがインターネットにあふれ、本物と偽物の境界線が曖昧になっている。AI 主導の創造性は無限の可能性を切り開く一方で、緊急の疑問も生じている。何でも説得力のある形で捏造できる時代に、私たちはどうやって真実を見極めるのか？ そこで登場したのが、Google DeepMind の先駆的なソリューションであるSynthID です。これは、AI で生成された画像に目に見えない透かしを埋め込み、信頼性のある方法で真正性を検証できるように設計されています。

Unmasking Deepfakes: How SynthID is Leading the Fight Against AI-Generated Misinformation | by Sajid Khan | Mar, 2025 | Towards AI

[zehub]

Google Photos : un filigrane invisible pour les images retouchées par l’IA

Depuis quelques jours, Google Photos ajoute un filigrane numérique aux photos retouchées avec son outil Magic Editor. Cette nouveauté s’appuie sur SynthID, une technologie développée par DeepMind, qui signale discrètement les images modifiées grâce à l’intelligence artificielle. L'idée est de permettre aux utilisateurs d’identifier rapidement les contenus retouchés tout en gardant l’apparence originale de l’image.

[cleverhottubmiracle]

[ad_1] Technologies Published 14 May 2024 Announcing our novel watermarking method for AI-generated text and video, and how we’re bringing SynthID to key Google productsGenerative AI tools — and the large language model technologies behind them — have captured the public imagination. From helping with work tasks to enhancing creativity, these tools are quickly becoming part of products that are used by millions of people in their daily lives.These technologies can be hugely beneficial but as they become increasingly popular to use, the risk increases of people causing accidental or intentional harms, like spreading misinformation and phishing, if AI-generated content isn’t properly identified. That’s why last year, we launched SynthID, our novel digital toolkit for watermarking AI-generated content.Today, we’re expanding SynthID’s capabilities to watermarking AI-generated text in the Gemini app and web experience, and video in Veo, our most capable generative video model.SynthID for text is designed to complement most widely-available AI text generation models and for deploying at scale, while SynthID for video builds upon our image and audio watermarking method to include all frames in generated videos. This innovative method embeds an imperceptible watermark without impacting the quality, accuracy, creativity or speed of the text or video generation process.SynthID isn’t a silver bullet for identifying AI generated content, but is an important building block for developing more reliable AI identification tools and can help millions of people make informed decisions about how they interact with AI-generated content. Later this summer, we’re planning to open-source SynthID for text watermarking, so developers can build with this technology and incorporate it into their models. How text watermarking worksLarge language models generate sequences of text when given a prompt like, “Explain quantum mechanics to me like I’m five” or “What’s your favorite fruit?”. LLMs predict which token most likely follows another, one token at a time.Tokens are the building blocks a generative model uses for processing information. In this case, they can be a single character, word or part of a phrase. Each possible token is assigned a score, which is the percentage chance of it being the right one. Tokens with higher scores are more likely to be used. LLMs repeat these steps to build a coherent response.SynthID is designed to embed imperceptible watermarks directly into the text generation process. It does this by introducing additional information in the token distribution at the point of generation by modulating the likelihood of tokens being generated — all without compromising the quality, accuracy, creativity or speed of the text generation. SynthID adjusts the probability score of tokens generated by a large language model. The final pattern of scores for both the model’s word choices combined with the adjusted probability scores are considered the watermark. This pattern of scores is compared with the expected pattern of scores for watermarked and unwatermarked text, helping SynthID detect if an AI tool generated the text or if it might come from other sources. A piece of text generated by Gemini with the watermark highlighted in blue. The benefits and limitations of this techniqueSynthID for text watermarking works best when a language model generates longer responses, and in diverse ways — like when it’s prompted to generate an essay, a theater script or variations on an email.It performs well even under some transformations, such as cropping pieces of text, modifying a few words and mild paraphrasing. However, its confidence scores can be greatly reduced when an AI-generated text is thoroughly rewritten or translated to another language.SynthID text watermarking is less effective on responses to factual prompts because there are fewer opportunities to adjust the token distribution without affecting the factual accuracy. This includes prompts like “What is the capital of France?” or queries where little or no variation is expected like “recite a William Wordsworth poem”.Many currently available AI detection tools use algorithms for labeling and sorting data, known as classifiers. These classifiers often only perform well on particular tasks, which makes them less flexible. When the same classifier is applied across different types of platforms and content, its performance isn’t always reliable or consistent. This can lead to a text being mislabeled, which can cause problems, for example, where text might be incorrectly identified as AI-generated.SynthID works effectively on its own, but it can also be combined with other AI detection approaches to give better coverage across content types and platforms. While this technique isn’t built to directly stop motivated adversaries like cyberattackers or hackers from causing harm, it can make it harder to use AI-generated content for malicious purposes. How video watermarking worksAt this year’s I/O we announced Veo, our most capable generative video model. While video generation technologies aren't as widely available as image generation technologies, they’re rapidly evolving and it’ll become increasingly important to help people know if a video is generated by an AI or not.Videos are composed of individual frames or still images. So we developed a watermarking technique inspired by our SynthID for image tool. This technique embeds a watermark directly into the pixels of every video frame, making it imperceptible to the human eye, but detectable for identification.Empowering people with knowledge of when they’re interacting with AI-generated media can play an important role in helping prevent the spread of misinformation. Starting today, all videos generated by Veo on VideoFX will be watermarked by SynthID. SynthID for video watermarking marks every frame of a generated video Bringing SynthID to the broader AI ecosystemSynthID’s text watermarking technology is designed to be compatible with most AI text generation models and for scaling across different content types and platforms. To help prevent widespread misuse of AI-generated content, we’re working on bringing this technology to the broader AI ecosystem.This summer, we’re planning to publish more about our text watermarking technology in a detailed research paper, and we’ll open-source SynthID text watermarking through our updated Responsible Generative AI Toolkit, which provides guidance and essential tools for creating safer AI applications, so developers can build with this technology and incorporate it into their models. AcknowledgementsThe SynthID text watermarking project was led by Sumanth Dathathri and Pushmeet Kohli, with key research and engineering contributions from (listed alphabetically): Vandana Bachani, Sumedh Ghaisas, Po-Sen Huang, Rob McAdam, Abi See and Johannes Welbl.Thanks to Po-Sen Huang and Johannes Welbl for helping initiate the project. Thanks to Brad Hekman, Cip Baetu, Nir Shabat, Niccolò Dal Santo, Valentin Anklin and Majd Al Merey for collaborating on product integration; Borja Balle, Rudy Bunel, Taylan Cemgil, Sven Gowal, Jamie Hayes, Alex Kaskasoli, Ilia Shumailov, Tatiana Matejovicova and Robert Stanforth for technical input and feedback. Thanks also to many others who contributed across Google DeepMind and Google, including our partners at Gemini and CoreML.The SynthID video watermarking project was led by Sven Gowal and Pushmeet Kohli, with key contributions from (listed alphabetically): Rudy Bunel, Christina Kouridi, Guillermo Ortiz-Jimenez, Sylvestre-Alvise Rebuffi, Florian Stimberg and David Stutz. Additional thanks to Jamie Hayes and others listed above.Thanks to Nidhi Vyas and Zahra Ahmed for driving SynthID product delivery. [ad_2] Source link

[dailyreportonline]

Google Photos to Add SynthID AI Watermark to Images Enhanced With Magic Editor | Daily Reports Online

Google Photos is getting a new functionality that will allow people to check whether an image was enhanced using artificial intelligence (AI) or not. Images edited using Reimagine in Magic Editor will be labelled using SynthID, a watermarking technology by the Mountain View-based tech giant. The label can be viewed within the “About this image” section of the image and can also be detected by…

[dealkhuyenmai]

Google Photos bổ sung synthid để nhận biết hình ảnh AI-ated trong Magic Editor #ThêmSynthIDTrongGooglePhotos #XácĐịnhHìnhẢnhAI-ated #MagicEditor

Google đã thông báo rằng Google Photos sẽ bắt đầu sử dụng synthid để đánh dấu các hình ảnh được chỉnh sửa bằng AI thế hệ thông qua tính năng Reimagine trong Magic Editor. Synthid là gì? Synthid là một công nghệ thủy tối kỹ thuật số nhúng một định danh kh��ng thể nhận ra vào nội dung do AI tạo, bao gồm hình ảnh, âm thanh, văn bản và video. Theo Google, hình mờ này không ảnh hưởng đến chất lượng…

[memotrends]

Google's Magic Editor lets you see through AI-Tweaked photos

Discovering AI work can become more and more difficult as its capabilities and subtleties continue to improve. This continuous shift makes it even more important with labeling of AI-generated work. The latest developments to do so come from Google. Google uses SynthID technology using edited Mages. Rethinking the Magic Editor. Google DeepMind has been released Synthid In 2023, technology that…

[moneymovespress]

Google photos will now add ai watermarks to magic editor enhanced images

Google Photos is getting a new functionality that will allow people to check wheether an image was enhanced using artificial intelligence (AI) or not. Images edited using reimagine in magic editor will be labelled using synthid, a watermarking technology by the mountain view-based tech giant. The label can be Viewed with the “About this image” section and can also be detected by specialized…