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The social networking platform X (formerly Twitter) updated its privacy policy on Wednesday, sparking widespread attention and discussion. The new policy indicates that X will, by default, allow third-party "partners" to use platform data to train AI models unless users actively choose to opt out. This move not only highlights X's efforts to seek new revenue sources but also raises concerns regarding user data privacy protection. Key changes in the new policy include: Third-party data usage: New terms allow third-party partners to use X user data, including for AI model training. Users have the option to choose.

Recently, a wave of 'Goodbye, Meta AI' has swept across social media platforms. Many users, including high-profile figures such as Tom Brady and musician Cat Power, have taken to Instagram to publish statements aimed at preventing Meta from using their data to train AI models. This phenomenon reflects users' deep concerns about data privacy and the application of AI technology, posing new challenges for tech giants in balancing technological innovation with user rights. Although these statements have no legal binding force, they highlight the growing sentiment among users.

Recently, Deloitte released a report highlighting the significance of data privacy in generative artificial intelligence (GenAI). According to the survey, concerns regarding data privacy have significantly increased among professionals, with only 22% citing it as a top concern in 2023, compared to 72% in 2024. This indicates a growing awareness of potential risks as technology advances. Image Source Note: The image is generated by AI and licensed through Midjourney. In addition to data privacy, transparency and data sources are also important.

Recently, companies like Meta and Spotify have united to publicly criticize the European Union's decisions in the fields of data privacy and artificial intelligence (AI). In an open letter, they pointed out that the EU's decision-making process has become 'fragmented and inconsistent,' which not only affects business operations but could also undermine Europe’s competitiveness in the AI era. Image note: The image is generated by AI, and the image is licensed from Midjourney. The open letter states that with increased regulation on data privacy, businesses face challenges in using data to train AI models.

A recent survey reveals widespread concern among U.S. business leaders regarding the regulation and governance of artificial intelligence, particularly around issues of data privacy, security risks, and ethical use. The survey shows that 84% of data, privacy, and AI decision-makers support updating U.S. copyright laws to adapt to the AI era. 81% of respondents believe that big tech companies should compensate individuals whose data is used for AI training, reflecting a shift in the recognition of personal data value. Large enterprises support government regulation of AI more than small businesses do. 64% of respondents...

Anthropic has updated its commercial service terms, committing not to train AI models on customer data from paid services. The company clearly states that customers will own all outputs generated by its AI models. This change responds to the growing concerns over data privacy and intellectual property. Competitors OpenAI, Microsoft, and Google have also introduced similar policies in 2023, promising to protect customers from legal disputes over copyright infringement claims. Anthropic's Claude API has also been updated, allowing users to...

🤖 Issues with new AI features on social platforms: New AI features rolled out by Meta and Snapchat have already encountered various problems, including deepfakes and children's data privacy. 🔎 Regulatory attention: The Federal Trade Commission convened a roundtable to discuss copyright and other related issues. Regulators are scrutinizing the impact of generative AI on various industries and consumers. 💡 Media company responses: BBC has established AI principles, while some publishers are concerned that ChatGPT is siphoning traffic. Some publishers discussed this at the Digiday Publishing Summit.