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, several users on social media platform X have claimed to earn 'thousands of dollars' by posting fake information related to the US elections, AI-generated images, and various unfounded conspiracy theories. These users often share each other's content online, retweeting multiple times a day to increase their exposure and revenue. A BBC investigation found that these users have formed networks consisting of dozens of accounts that interact with each other, sharing a mix of true and false information with the aim of boosting their presence on the platform.

An unexpected 'collaboration dream' has sparked heated discussions on social media. Recently, Xiaohongshu blogger 'Little Cream Heart' garnered nearly 10,000 likes with a series of AI-generated images of Jellycat and Hermès dolls, successfully creating a sweet 'blunder' on the platform. In these images, the classic Hermès bag shape perfectly merges with Jellycat's signature plush texture and adorable smile, captivating many netizens. However, when the truth emerged that these enchanting dolls were actually the creation of AI, netizens' reactions were...

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.

Recently, the Internet Watch Foundation (IWF) issued a warning that the appearance of AI-generated Child Sexual Abuse Material (CSAM) has become increasingly frequent on the open web, reaching a 'critical point'. The safety oversight body stated that in the past six months, the quantity of illegal content created by AI they have discovered has already surpassed the total from the previous year. Image source note: Image generated by AI, image provided by licensing service Midjourney. IWF's interim CEO Derek Ray Hill.

A recent study proposed a new method that leverages human attention to enhance the quality of AI-generated images. This method uses a saliency detector to identify the most important areas in the image and prioritizes the generation of these areas. Traditional image generation methods optimize the entire image uniformly, whereas the new method identifies and prioritizes more 'important' regions, similar to human attention. This approach can improve image quality and fidelity to textual prompts. Researchers utilized stable diffusion models and saliency detectors to generate images, and

Recently, 26 prominent Japanese voice actors, including Nakao Ryusei, Yamadera Koichi, Kaji Yuki, Fukuyama Jun, and Nakamura Daiki, formed a group called 'No More Mudan Seisei AI' to oppose the unauthorized use of AI-generated voice acting. The group released a video where Nakao Ryusei expressed his astonishment at his voice being sold without permission and urged listeners to consider voice actors' views on the unauthorized use of generative artificial intelligence. Following this, the other 25 voice actors joined in the call.

Google announced on Thursday a significant upgrade to its AI note-taking and research assistant NotebookLM, bringing users a smarter and more personalized experience. This update focuses mainly on the highly anticipated audio overview feature, allowing users to guide the AI-generated conversation content more precisely, concentrating on specific topics rather than just generating comprehensive audio summaries. Since its launch last month, the audio overview feature of NotebookLM has rapidly gained popularity due to its podcast-like AI-generated conversation format, with many users beginning to share their experiences on social media.

Recently, a research team from Princeton University released an intriguing report indicating that as of August 2024, approximately 4.36% of new articles on Wikipedia contain significant AI-generated content. This study was conducted by scholars Creston Brooks, Samuel Eggert, and Denis Peskoff, who used tools named GPTZero and Binoculars to detect this AI-generated content.

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.

The Beijing Internet Court has recently adjudicated a landmark case, marking the first case in the country involving AI-generated voice personality rights infringement. With the rapid development of artificial intelligence technology, AI voices, images, and videos have begun to appear widely, leading to an increasing number of legal issues.

According to reports, Reddit users have been paying for fake, AI-generated nude photos of women. These images were created using the AI tool Stable Diffusion, appearing extremely realistic and difficult to distinguish from real photographs. A few months ago, these images first appeared on multiple Reddit forums, sparking considerable attention and commentary from users. One user even commented on a photo of Claudia, saying, 'You're beautiful!'

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.