It was only a matter of time before the culture wars came to AI. Since the release of ChatGPT in late 2022, Elon Musk has railed on Twitter against what he has called "Woke AI." He has specifically criticized ChatGPT's developer, OpenAI, for the features designed to prevent the chatbot from parroting racism and sexism. Now, the billionaire is courting AI researchers with a proposal to start a new AI company to rival the developer of ChatGPT, the tech news site The Information reported on Wednesday. "The danger of training AI to be woke--in other words, lie--is deadly," Musk tweeted in December.

Patent classification is an essential task in patent information management and patent knowledge mining. It is very important to classify patents related to artificial intelligence, which is the biggest topic these days. However, artificial intelligence-related patents are very difficult to classify because it is a mixture of complex technologies and legal terms. Moreover, due to the unsatisfactory performance of current algorithms, it is still mostly done manually, wasting a lot of time and money. Therefore, we present a method for classifying artificial intelligence-related patents published by the USPTO using natural language processing technique and deep learning methodology. We use deformed BERT and sentence attention overcome the limitations of BERT. Our experiment result is highest performance compared to other deep learning methods.

Algorithmic fairness in the context of personalized recommendation presents significantly different challenges to those commonly encountered in classification tasks. Researchers studying classification have generally considered fairness to be a matter of achieving equality of outcomes between a protected and unprotected group, and built algorithmic interventions on this basis. We argue that fairness in real-world application settings in general, and especially in the context of personalized recommendation, is much more complex and multi-faceted, requiring a more general approach. We propose a model to formalize multistakeholder fairness in recommender systems as a two stage social choice problem. In particular, we express recommendation fairness as a novel combination of an allocation and an aggregation problem, which integrate both fairness concerns and personalized recommendation provisions, and derive new recommendation techniques based on this formulation. Simulations demonstrate the ability of the framework to integrate multiple fairness concerns in a dynamic way.

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Over the course of a number of years, thousands of parents were falsely accused of fraud by the Dutch tax authorities due to discriminative algorithms. The consequences for families were devastating. But, the fact that the scandal was eventually brought to light might prove the Netherlands is ahead of other countries, says Assistant Professor Błażej Kuźniacki. He urges for more transparency about the use of artificial intelligence (AI) in tax related tasks. It's of great importance when it comes to tax. Humans are not capable of going through a massive amount of data as fast and accurately as algorithms.

The modern internet is powered by recommendation algorithms. These systems track your online consumption and use that data to suggest the next piece of content for you to absorb. Their goal is to keep users on a platform by presenting them with things they'll spend more time engaging with. Trouble is, those link chains can lead to some weird places, occasionally taking users down dark internet rabbit holes or showing harmful content. Lawmakers and researchers have criticized recommendation systems before, but these methods are under renewed scrutiny now that Google and Twitter are going before the US Supreme Court to defend their algorithmic practices.

Many agree on what responsible, ethical AI looks like -- at least at a zoomed-out level. But outlining key goals, like privacy and fairness, is only the first step. Policymakers need to determine whether existing laws and voluntary guidance are powerful enough tools to enforce good behavior, or if new regulations and authorities are necessary. And organizations will need to plan for how they can shift their culture and practices to ensure they're following responsible AI advice. That could be important for compliance purposes or simply for preserving customer trust.

Artificial intelligence (AI) has emerged as a revolutionary technology with the potential to transform virtually every industry, and the art world is no exception. AI has opened up new possibilities for artists to create unique and innovative works of art that were previously impossible. With the help of AI algorithms, artists can generate music, images, and even entire pieces of art, opening the door to a new era of creativity. This has given rise to the field of AI art, where artists are using this technology to push the boundaries of traditional art forms and create new ones altogether. In this context, it is essential to analyze the impact that AI art is having on the art world, both in terms of how it is being created and how it is being consumed.

According to a court record dated January 30, 2023, Judge Juan Manuel Padilla Garcia, who presides over the First Circuit Court in the city of Cartagena, claimed he used the AI tool to pose legal questions concerning the case and included its responses in his judgement. These texts created by AI are not intended to take the place of the judge's ruling in any manner. The goal is to reduce the amount of time needed to draft decisions after verifying the data provided by AI, Judge Garcia said. Also Read: India gets its first ChatGPT-powered AI chatbot, 'Lexi' Artificial intelligence (AI) was used to determine the justifications for this choice. So, the court asked a portion of the legal queries raised in such processes, he added.

Taipei, Taiwan – As the arrival of artificial intelligence-powered chatbots sends shockwaves through the global tech industry, China is racing to produce versions of its own. China's search-engine giant Baidu has announced plans to release its chatbot ERNIE sometime in March, following the pioneering launch of ChatGPT, which has prompted existential questions about the future of sectors ranging from education to journalism and healthcare. Chinese tech shares rallied in response to the news and authorities have pledged to beef up their support of the sector. Similar projects to ERNIE are under way at Chinese tech giants Huawei, Alibaba, Tencent, JD.com and top institutions including the Beijing Academy of Artificial Intelligence. China's Ministry of Science and Technology said last week it would push for the integration of AI across Chinese industry, while cities including Beijing have also announced plans to back developers.