Recently, Google announced a new feature in its search results aimed at helping users better understand how content is created and modified. This initiative follows Google's joining of the Content Provenance and Authenticity Alliance (C2PA), which includes major brands like Amazon, Adobe, and Microsoft, all dedicated to combating online misinformation. Google stated that this new feature will be gradually rolled out over the coming months, using current content credential standards (i.e., image metadata) to label AI-generated or edited images in search results.

The National Internet Information Office recently released the 'Measures for Labeling AI-Generated Synthetic Content (Draft for Comments)', aimed at regulating the labeling of AI-generated synthetic content, safeguarding national security and public interests, and protecting the legitimate rights and interests of citizens, legal persons, and other organizations. This measure is formulated based on the 'Cybersecurity Law of the People's Republic of China', 'Regulations on the Administration of Algorithms for Internet Information Services', 'Regulations on the Administration of Deep Synthesis in Internet Information Services', and the 'Interim Measures for the Administration of Generative Artificial Intelligence Services', among other laws and regulations. The deadline for feedback is the 20th.

In today's world, deepfakes and synthetic media have become increasingly common due to the advancements in generative artificial intelligence (gen AI). To tackle this challenge, many organizations are working to improve digital watermarking technologies for tracking the origins of content. While no organization has completely succeeded yet, the Coalition for Content Provenance and Authenticity (C2PA) is expanding its membership. C2PA has announced that Amazon has become a new member of the organization's advisory board. C2PA is an open technical standard organization under the Linux Foundation.

With the continuous advancement of artificial intelligence technology, the difficulty of forging images and videos has decreased significantly, making the deepfake phenomenon increasingly severe. Identifying these false contents has become an urgent issue to address. Recently, a research team from Binghamton University conducted an in-depth discussion on this topic, using frequency domain analysis techniques to reveal the characteristics of AI-generated images, thus helping people identify false information. Image source note: The image is AI-generated, with permission from image licensing provider Midjourney. This research was conducted by the Department of Electrical and Computer Engineering.

Google has recently launched an exciting experimental feature—AI-generated podcasts. This feature can transform your research materials into engaging podcast segments, featuring two 'hosts' discussing the information you have gathered.

Apple's upcoming iOS 18 features various AI functionalities, including SMS rewriting, email summarization, and object recognition in photos. Notably, the 'Image Playground' creates cartoon-style illustrations from text prompts, with Bailey, the dog of Apple SVP Craig Federighi, as the first AI-generated image subject. Other practical AI tools are also included, but they are currently limited to the beta version.....

China's first fully self-developed video model, Vidu, created by Shengshu Technology and Tsinghua University, introduces the 'Subject Reference' feature to ensure character consistency in AI-generated videos. Users can upload images, and Vidu maintains consistency across various scenes. This free feature marks a new era in AI video creation, aiming for precise multi-subject interaction and style uniformity. Director Shi Yuxiang praised its enhanc....

The police in New Mexico, USA, used AI-generated images of a virtual 14-year-old girl to lure sexual offenders, aiming to investigate the protection of children from sexual exploitation on the Snapchat platform. This method has sparked discussions on ethics, legality, and AI ethics, particularly regarding the legality of AI-generated images, privacy rights, and consent issues. Legal experts point out that creating and using deepfake child sexual abuse material is illegal and concerning. Moreover, the requirement for real children's images as training datasets for AI-generated images raises concerns about children.

Amazon's audiobook service Audible is introducing AI voice training technology to generate new audiobook recordings, with plans to invite professional audiobook narrators in the U.S. to participate starting this week. The trained AI will be used for recordings, with narrators having the right to approve the use of their synthetic voice for specific works and the ability to edit pronunciation and pacing. Narrators participating in the program will be compensated for audiobooks created using their AI voice based on book titles and royalty splits.

The Dutch Data Protection Authority (DPA) has fined facial recognition technology company Clearview AI €3.05 million for violating relevant laws by collecting user images without consent. DPA Chairman Aleid Wolfsen pointed out that facial recognition technology is highly invasive, noting that images are collected without users' knowledge. Clearview AI claims that its services do not operate in the Netherlands and the EU, and therefore should not be subject to GDPR. The company's Chief Legal Officer stated that the fine decision is unlawful and unenforceable.

Tom Hanks has issued a warning on social media, alerting the public to be cautious of fraudulent ads that misuse his image, pointing out that these ads are created using artificial intelligence to promote so-called miracle cures and wonder drugs. He emphasized that he is not associated with such ads or products and that genuine medical advice should come from professionals. Hanks' warning has raised concerns about the safety of celebrity and public figures' images, especially in the digital age where this misuse is becoming increasingly common. In response to this issue, Tennessee has passed the 'Image and Voice Safety Act' aimed at...

This article shares a method to use AI tools to convert real photos into cute 3D cartoon style images. No need to shoot a video; you can generate multiple styles of 3D cartoon images from just one photo. The article provides operational steps, including visiting the AIbase Jimeng official website, selecting a model, importing a photo, setting keywords, and generating different styles of 3D cartoon avatars. Additionally, the article covers material preparation, usage of the generation tools, and shares how to adjust the style of the generated images with keywords, such as plush style, hand-painted style, etc.

Recently, the Xiamen police uncovered a case involving the use of AI technology to create fake videos. A 32-year-old man, Ren (from Hubei), was arrested for allegedly disseminating false information. Ren generated fake content and images and then created a video using AI technology, which he posted on Today’s Headlines. The video spread rumors about an elderly person being beaten in Guangdong and their grandson committing suicide by jumping into a river, attracting widespread attention. His aim was to increase followers and traffic for profit. Ren admitted that it only takes two to three minutes to create videos using AI technology. The police have taken criminal coercive measures against Ren; this incident serves as a warning.

As the realism of AI-generated images increases, people begin to question the authenticity of videos. A video released by 'Quantum Bit' on Bilibili discusses how to identify AI-produced videos, triggering widespread interest. The video introduces some intuitive recognition methods, such as observing whether characters' movements and expressions are natural, as well as the coordination of voice, mouth shapes, and emotions. In the face of a vast number of videos, AI recognition technology becomes crucial. The traces left by AI face swapping technology during the splicing process serve as important clues for AI recognition. The research team developed classifiers from dimensions such as models, motion, and geometry.

Amazon is set to launch a fully revamped version of its Alexa personal voice assistant in October, introducing features such as the AI-generated news summary called 'Smart Briefing', which will require a subscription to access. The new Alexa aims to enhance daily engagement, particularly regarding the accuracy of political news and information security. The AI-generated news summary feature has become a focal point of user demand, with subscription costs expected to reach up to $10 per month. Additionally, Amazon plans to expand Alexa's presence in e-commerce and children's entertainment through 'Project Banyan'.

Samsung has announced the introduction of AI features for its smart appliances, highlighting the smart fridge's support for AI-generated wallpaper. Users can customize the fridge display wallpaper by choosing themes, categories, and artistic styles. This feature requires a Wi-Fi connection and is limited to generating five wallpapers daily. Additionally, Samsung has upgraded the Bixby voice assistant to enhance smart home control capabilities, allowing it to understand complex commands and remember conversations, making interactions with appliances more natural. However, the Bixby upgrade is only available for select models launched in 2024, including the Bespoke series of refrigerators.

U.S. media giant Gannett announced the closure of its product review site Reviewed on November 1, raising concerns. Reviewed is known for providing various product recommendations and professional reviews, but it has recently been embroiled in controversy over content sourcing, facing accusations from the employee union that the site used AI to generate review content. Gannett has denied the use of AI, stating that the content was written by the third-party marketing company AdVon. AdVon has previously faced controversy over similar issues, being accused of publishing AI-generated content in Sports Illustrated.

Three tech giants, OpenAI, Adobe, and Microsoft, have united to support California's AB3211 bill, which requires tech companies to add labels to generated content to help identify works created by artificial intelligence (AI). Key provisions include adding watermarks in the metadata of AI-generated photos, videos, and audio clips, and large online platforms are required to label AI-generated content in a way that is easily understood by the general audience. This bill aims to address issues of information sourcing and enhance public understanding and trust in AI technology.