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Recently, the UK government suffered a major setback in its efforts to push forward with AI-related legislation. The House of Lords proposed an amendment to the government's Data (Usage and Access) Bill aimed at strengthening protection for content creators, which has garnered widespread attention and discussion. Under current laws, the Labour Party government is seeking to introduce a copyright exception clause that would allow commercial generative AI to access relevant data during model training without requiring permission from creators. This proposal has sparked

Artificial intelligence is sweeping across the globe at an unprecedented speed, but a significant issue is becoming increasingly prominent: while general-purpose AI is proficient in many skills, it often struggles with specific regional cultures and languages. This is particularly true in culturally and linguistically diverse areas such as the Middle East and South Asia, where users urgently require AI models that understand the 'local language'. Although large general models can handle multiple languages, they often reveal a lack of cultural depth and in-depth regional knowledge when dealing with scenarios rich in regional context.

Recently, a research team from the Fraunhofer Institute for Process Engineering and Packaging in Germany developed an artificial intelligence molecular scent prediction algorithm called OWSum, which successfully distinguishes American whiskey from Scotch whiskey, surpassing human experts in accuracy. The team trained this AI tool using flavor descriptions and chemical data of whiskey to explore its potential in whiskey identification. Image source note: The image was generated by AI, and the image licensing provider Midjourney was involved in the study, where researchers selected 16 samples.

The Japanese government recently announced a plan to utilize artificial intelligence technology to combat online manga and animation piracy. According to data from the Tokyo Bureau of Cultural Affairs, there are currently at least 1,000 websites illegally offering free downloads of Japanese manga and animation. These sites are accused of causing losses of billions of dollars to Japan's cultural industry each year. To address this issue, the Japanese government has proposed a pilot program totaling 300 million yen (approximately 2 million USD). This program will implement an image and text detection system, leveraging artificial intelligence technology to surveil the internet.

Recently, a group of tech giants and venture capitalists jointly issued a statement opposing California Senator Scott Wiener’s SB1047 bill. This bill aims to strengthen the regulation of artificial intelligence, prompting strong opposition from the tech industry. Marc Andreessen and Ben Horowitz, co-founders of Andreessen Horowitz, along with Microsoft CEO Satya Nadella.

OpenAI researchers recently discovered an interesting phenomenon: the usernames chosen by users when interacting with ChatGPT may subtly influence the AI's responses. However, this influence is generally very small and primarily limited to earlier, unoptimized versions of the model. This study delves into the differences in ChatGPT's reactions to identical questions when faced with usernames related to different cultural backgrounds, genders, and ethnicities. The choice of usernames as a focal point for the research was made because names often carry specific cultural, gender, and ethnic connotations.

Recently, a new study has drawn attention, revealing that ChatGPT's responses reflect the cultural values of people from English-speaking and Protestant countries. The core of this study is that large language models like ChatGPT were trained on a vast amount of data from certain countries and cultures, which may lead to outputs that carry cultural biases. The research team, led by René F Kizilcec and his colleagues, examined five different versions of OpenAI's GPT.

The study reveals that there are perceptual differences between AI-generated fake news and human-made fake news. The survey shows that 12% of participants are willing to share fake news, with no significant difference in sharing willingness between the two sources. Socioeconomic factors influence users' trust levels towards fake news, with conservative participants being more likely to believe AI-generated fake news. The research suggests introducing new labels and enhancing education on the risks of AI-generated fake news, and possible regulatory measures may be needed to protect vulnerable groups.

The Japanese government collaborates with tech giants such as NEC, Fujitsu, and SoftBank to invest hundreds of millions in developing a culturally sensitive Japanese language model. The new model will be trained on the national supercomputer Fugaku, boasting at least 30 billion parameters, with performance expected to significantly outshine existing models. The goal is to address shortcomings of current models in the Japanese market, such as generating rare characters and culturally inappropriate communication norms. Researchers have developed the Rakuda ranking system to assess the model's sensitivity to Japanese culture, with GPT-3.5 currently ranking first. The Japanese government also...