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 Plus AI writes a sci-fi best-seller in China

The UK Supreme Court has confirmed that AI systems cannot be named as patent owners or transferred patent rights. The ruling comes from a case involving Dr. Stephen Thaler, who sought to patent inventions created by an AI machine called ‘DABUS.’ Thaler argued that AI systems should be the default owners of patents for inventions they generate. However, the UK Intellectual Property Office disagreed, and the courts have upheld its findings. The Supreme Court emphasized that UK patent law defines an inventor as a natural person, and a machine cannot be considered a person. 

AI-Generated Novel Takes China’s Science Fiction Scene by Storm

Beijing’s Tsinghua University professor, Shen Yang, sought inspiration from AI while writing a science fiction novel about the metaverse and humanoid robots. To his surprise, the AI-generated the entire book, which went on to win a national science fiction award. The novel, titled “Land of Memories,” was crafted by Shen using a draft of 43,000 characters generated by AI in just three hours. The storyline captivates readers, introducing a forbidden realm called the “Land of Memories” and a protagonist named Li Xiao, who ventures into the metaverse to retrieve her lost memories. This remarkable achievement highlights the growing potential of AI in the realm of creative writing and its impact on traditional literature.

Rite Aid Rapped on Knuckles for Facial Recognition Fiasco

Rite Aid has agreed with the Federal Trade Commission (FTC) after being charged with the improper use of facial recognition technology for surveillance purposes. The FTC accused the retailer of neglecting to implement reasonable procedures to prevent harm to consumers and wrongly flagging individuals, particularly women and people of color, based on facial recognition technology. As part of the settlement, Rite Aid is prohibited from using facial recognition technology for surveillance for the next five years. The company has stated that it disagrees with the allegations and that the facial recognition technology in question was part of a pilot program that ended three years before the investigation. 

Spicing Up AI: Researchers Use Artificial Intelligence to Enhance Habanero Peppers and Cancer Treatment

West Virginia University and West Virginia State University are joining forces in an AI project to unravel the genetic code of habanero peppers. By analyzing the peppers’ genetic makeup, the researchers aim to decipher the connection between the peppers’ attributes, such as spiciness, size, and color. This cutting-edge AI technology is not only revolutionizing the quality of peppers but also holds potential for cancer treatment. With recent advancements in AI, scientists can process the DNA code much faster, enabling the identification of patterns that can lead to different characteristics. 

Google’s BARD AI Chatbot Hits Pause on Election Topics

Google’s BARD chatbot will no longer respond to queries related to the 2024 U.S. presidential election, as Google aims to prioritize the role of AI in the election process. Recognizing the potential for AI to disrupt democratic practices, Google plans to proceed cautiously and increase transparency in its services for voters and campaigns. This move comes as governments worldwide are rushing to regulate AI. The restrictions will also affect critical elections in India and South Africa next year. Google’s decision represents a major step toward accountability and transparency in AI technology’s influence on election outcomes.


AI Models Struggle with Accuracy in Analyzing SEC Filings, Highlighting Need for Improvement

A study conducted by startup Patronus AI has revealed that large language models (LLMs), commonly used in analyzing SEC filings, only achieved an accuracy rate of 79% when answering questions about the content of the filings. The research identified issues such as the models refusing to answer questions or providing incorrect information. This lack of accuracy and reliability poses significant concerns, particularly in regulated industries like finance. Although AI models have the potential to offer advantages in extracting important data and analyzing financial narratives, their entry into the industry has been challenging due to the nondeterministic nature of LLMs. Despite these limitations, Patronus AI remains optimistic about the potential of LLMs in supporting finance professionals.

AI: The Tech Superhero Protecting Intellectual Property from Thieves

IP theft is a significant threat to businesses worldwide, with the rise of the digital age making it easier for infringers to copy and exploit copyrighted, patented, and trademarked material. This article explores how AI is emerging as a powerful ally in the battle against IP theft. By using AI algorithms that analyze online data, recognize patterns, and utilize natural language processing, businesses can proactively identify potential infringements that may go unnoticed by human monitoring. The integration of AI into IP protection strategies becomes crucial to stay one step ahead of infringers, while also being mindful of the potential misuse of AI for infringement.

Unicorns, Cheaters, and Climate Crusaders: How AI is Shaping Young Minds

The advent of AI has sparked a range of responses in the younger generation, from excitement to concern. The Washington Post interviewed young individuals from various backgrounds to get their perspectives on how AI is shaping their future. A finance student gave up a high-paying job on Wall Street to work in AI, while an art student felt that AI diminished the emotional depth of art. Meanwhile, a law student remained calm about the potential impact of AI in the legal field. Other stories include high school students creating climate-friendly AI and a teenager using generative AI to fight against algorithmic bias. 

Mind-Reading AI: Exploring the Controversial Theory of Mind in Generative AI for Mental Health Apps

AIIn this thought-provoking discussion, the author examines the Theory of Mind (ToM) and its relevance to AI, particularly in the context of generative AI mental health advisement apps. The article delves into the emerging use of AI for mental health treatment and raises important questions about its benefits and potential risks. The author provides an overview of ToM, highlighting its significance in understanding and anticipating other people’s thoughts. Additionally, controversial aspects of ToM, including debates about whether animals possess the same capability, are discussed. The article also explores testing methods and offers examples of ToM applications in the domain of mental health advisory.




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