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Meta is testing a new feature that allows users to generate comment suggestions on Instagram using artificial intelligence. X user Jonah Manzano discovered and shared this test feature, showing users can tap a pencil icon below a post to access Meta AI, which analyzes the photo and provides three possible comments. Users can refresh for more suggestions if unsatisfied. A Meta spokesperson confirmed the company is testing Meta AI in multiple areas.

Researchers at Westlake University have recently developed a new model capable of detecting text generated by artificial intelligence. Professor Zhang Yue, the team leader, stated in an interview that this model utilizes an unsupervised algorithm to effectively determine if an article is AI-generated, a crucial development in the rapidly advancing field of AI. Professor Zhang Yue mentioned that with continuous technological advancements, AI applications in creative fields are becoming increasingly prevalent. However, this rise brings challenges, such as AI hallucinations, a phenomenon where AI generates inaccurate or nonsensical information.

The Spanish government has recently passed a new law imposing substantial fines on companies that fail to properly label AI-generated content, aiming to combat the spread of deepfakes. Digital Transformation Minister Oscar Lopez announced that the law, inspired by the EU's AI Act, mandates strict transparency requirements for AI systems deemed high-risk. Image caption: Image generated by AI, image licensing provider Midjourney. Lopez noted...

In a recent series of Threads posts, Instagram head Adam Mosseri emphasized the need for social media users to be vigilant in the face of the growing prevalence of AI-generated content. He pointed out that the images and information users see online may not be real, as AI technology is now capable of creating content that closely resembles reality. To help users better assess the authenticity of information, Mosseri mentioned that users should consider the source of the content, and social platforms also bear responsibility.

Adam Mosseri, the head of Instagram, stated on social media that users should be wary of images they see online, especially those that can easily be mistaken for reality, such as AI-generated content. Mosseri emphasized that AI technology has significantly enhanced its ability to produce realistic content, so users should approach this content with caution and consider its source, while social platforms have a responsibility to assist in this matter. He wrote, 'As an internet platform, it is our duty to label AI-generated content as much as possible.'

With the advancement of artificial intelligence technology, tech companies like Google and Meta are using user comments or reviews to generate AI responses on their platforms, which may lead to new defamation law risks. Legal experts in Australia point out that when users post allegedly defamatory comments on Google or Facebook, it is typically the users themselves who face legal liability. However, a significant ruling by the High Court of Australia in the Dylan Voller case in 2021 held that platforms hosting defamatory comments, such as social media pages, may also be held responsible for them.

Recently, Google announced the open-sourcing of its text watermark tool SynthID, aimed at helping developers better identify AI-generated text. This tool is now publicly available through Google's 'Responsible AI Toolkit'. Pushmeet Kohli, Vice President of Research at Google DeepMind, stated that this technology will enable other generative AI developers to detect whether text outputs originate from their own Large Language Models (LLMs), which will help them be more responsible.

AI technology is like a double-edged sword; it brings convenience but also poses risks. To better manage these risks, California Governor Gavin Newsom recently signed nine bills specifically regulating AI-generated content, particularly focusing on the phenomenon of deepfakes. Note: The image is AI-generated, and the image licensing provider Midjourney is referenced. Among these bills, SB1047 stands out as it requires AI developers to implement safety measures to mitigate risks.

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.

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.

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.

Meta has signed a multi-year partnership with Universal Music Group (UMG) aimed at expanding the use of music content across Meta's social applications, including Threads and WhatsApp, and addressing the impact of unauthorized AI-generated content on artists. This collaboration deepens the partnership that began in 2017, allowing users to create and share music content more widely on these platforms. The agreement seeks to address copyright issues, provide protection for artists, and enable music to circulate again on the platforms, fostering user engagement with audio content.

YouTube has recently quietly introduced a new policy that allows users to request the deletion of content generated by AI that mimics their facial or voice features, in response to the rapid rise of AI-generated content and its impact on the platform. Under the new policy, affected individuals can request the deletion of AI-generated content based on privacy invasion reasons through YouTube's privacy request process. YouTube emphasizes that, except for special cases (such as minors, those unable

Researchers from the University of Reading in the UK secretly submitted AI-generated exam answers, successfully tricking professors and achieving better scores than real students. The project used ChatGPT-4 to generate unedited answers, which were submitted under the guise of a fictitious student for an online assessment in an undergraduate course.

With the rapid development of artificial intelligence technology, AI-generated videos are becoming increasingly realistic, posing serious security risks to society. Recently, a $25 million fraud case utilized a lifelike video created by AI. To address this challenge, a research team at Columbia Engineering has developed an innovative tool called DIVID (DIffusion-generated VIdeo Detector) designed to detect AI-generated videos.

YouTube requires creators to disclose whether they used generative AI to produce videos, or face penalties. Videos on sensitive topics created with AI must include prominent tags to inform users. The platform will update privacy complaint processes to allow requests for the removal of AI-generated videos featuring simulated characters. Music partners can request removal of AI-generated content that mimics the voices of artists. YouTube aims to balance AI innovation with community responsibility through these new rules.

YouTube's latest regulation requires creators to identify content generated by artificial intelligence to prevent false videos, deepfakes, and copyright issues. Creators who fail to comply may face penalties such as account suspension and content removal. YouTube will gradually roll out new features to support this policy over the coming months and into 2024.