As Large Language Models (LLMs) become increasingly integrated into everyday life and information ecosystems, concerns about their implicit biases continue to persist. While prior work has primarily examined socio-demographic and left--right political dimensions, little attention has been paid to how LLMs align with broader geopolitical value systems, particularly the democracy--authoritarianism spectrum. In this paper, we propose a novel methodology to assess such alignment, combining (1) the F-scale, a psychometric tool for measuring authoritarian tendencies, (2) FavScore, a newly introduced metric for evaluating model favorability toward world leaders, and (3) role-model probing to assess which figures are cited as general role-models by LLMs. We find that LLMs generally favor democratic values and leaders, but exhibit increased favorability toward authoritarian figures when prompted in Mandarin. Further, models are found to often cite authoritarian figures as role models, even outside explicit political contexts. These results shed light on ways LLMs may reflect and potentially reinforce global political ideologies, highlighting the importance of evaluating bias beyond conventional socio-political axes. Our code is available at: https://github.com/irenestrauss/Democratic-Authoritarian-Bias-LLMs.

The most celebrated and extensively studied model of distributed computing is the {\em message-passing model,} in which each vertex/node of the (distributed network) graph corresponds to a static computational device that communicates with other devices through passing messages. In this paper, we consider the {\em agentic model} of distributed computing which extends the message-passing model in a new direction. In the agentic model, computational devices are modeled as relocatable or mobile computational devices (called agents in this paper), i.e., each vertex/node of the graph serves as a container for the devices, and hence communicating with another device requires relocating to the same node. We study two fundamental graph level tasks, leader election, and minimum spanning tree, in the agentic model, which will enhance our understanding of distributed computation across paradigms. The objective is to minimize both time and memory complexities. Following the literature, we consider the synchronous setting in which each agent performs its operations synchronously with others, and hence the time complexity can be measured in rounds. In this paper, we present two deterministic algorithms for leader election: one for the case of $k

Shanghai has officially unveiled its first heterogeneous humanoid robot training center, marking a significant accomplishment in China's robotics development. The Humanoid Robot Kylin Training Ground represents an important step in the country's technological advancement, showcasing China's commitment to becoming a global leader in robotics and artificial intelligence. The National and Local Co-Built Humanoid Robotics Innovation Center has launched a groundbreaking training facility that is revolutionizing the field of robotics. This cutting-edge complex, spanning over 53,800 square feet, is currently capable of training more than 100 humanoid robots at once. GET SECURITY ALERTS & EXPERT TECH TIPS – SIGN UP FOR KURT'S THE CYBERGUY REPORT NOW These advanced robots have showcased exceptional proficiency, with an average success rate exceeding 90% in various tasks.

A speech by the US vice-president, JD Vance, symbolised a fracturing consensus on how to approach AI. He attended the summit with other global leaders, including the Indian prime minister, Narendra Modi, the Canadian PM, Justin Trudeau, and the head of the European Commission, Ursula von der Leyen. In his speech in the Grand Palais, Vance made it clear the US was not going to be held back from developing the tech by global regulation or an excessive focus on safety. "We need international regulatory regimes that foster the creation of AI technology rather than strangle it, and we need our European friends, in particular, to look to this new frontier with optimism rather than trepidation," he said. Speaking in front of the country's vice-premier, Zhang Guoqing, Vance warned his peers against cooperating with "authoritarian" regimes – in a clear reference to Beijing.

United States Vice President JD Vance has warned against "excessive regulation" of artificial intelligence at a Paris summit on the technology, warning both European allies and rivals like China against tightening governmental grip. "Excessive regulation of the AI sector could kill a transformative sector just as it's taking off," Vance told global leaders, tech industry chiefs and policymakers gathered on Tuesday at the French capital's Grand Palais. A three-way race for AI dominance has emerged at the summit, with Europe seeking to regulate and invest, China expanding access through state-backed tech giants and the US, under President Donald Trump, championing a hands-off approach. In a thinly veiled jab against China, Vance also warned global leaders against striking artificial intelligence deals with "authoritarian regimes". "Partnering with them means chaining your nation to an authoritarian master that seeks to infiltrate, dig in and seize your information infrastructure," he said.

Fox News host Bret Baier has more on U.S. and its allies efforts to increase semiconductor manufacturing on'Special Report.' The United Kingdom has pledged to spend 100 million pounds (or $125.8 million) on buying and developing computer chips necessary for artificial intelligence (AI) systems in a move that seeks to cement Britain as a global leader in the sector, but experts worry it is not enough to match the competitive market. "The U.K. has a valuable perspective on AI development – sitting between the U.S. free-for-all position and the EU regulatory approach – that makes it the perfect venue for the first international AI global safety conference," Alan Mendoza, co-founder and executive director of the Henry Jackson Society, told Fox News Digital. British Prime Minister Rishi Sunak plans to build thousands of high-powered artificial intelligence chips, building on a deal struck between the U.K. and U.S. during his state visit in June when he and President Biden signed the "Atlantic Declaration." The White House touted the agreement as something that would ensure that the "unique alliance is adapted, reinforced and reimagined for the challenges of this moment," including the "handful of critical and emerging technologies" such as AI that are "forming the backbone of new industries and shaping our national security landscape."

November 23, 2022 -- The Radiological Society of North America (RSNA) has announced the official results of the RSNA Cervical Spine Fracture AI Challenge. Conducted by RSNA in collaboration with the American Society of Neuroradiology (ASNR) and the American Society of Spine Radiology (ASSR), the aim of the challenge was to explore whether artificial intelligence (AI) could be used to aid in the detection and localization of cervical spine injuries. The top eight teams will be recognized in a presentation on Nov. 28, in the AI Showcase during RSNA's 108th Scientific Assembly and Annual Meeting in Chicago (RSNA 2022). The RSNA Cervical Spine Fracture AI Challenge was conducted on a platform provided by Kaggle, Inc. The top performing competitors will be awarded a total of $30,000.

The rapid rise of digitalization and technological innovation is transforming almost every industry domain, including healthcare, banking, & finance. Regarding the revolutionary impact of AI integration upon industrial growth, education is no exception. The rapid incorporation of state-of-the-art technologies like artificial intelligence into education is changing how we learn and teach. AI for education is being used by educational platforms worldwide to create highly collaborative and interactive learning environments for students. AI has many key benefits for education, including personalized learning, digital lessons that are highly immersive, 24/7 access, instant feedback, and improved engagement for students with disabilities. Emergen Research estimates that the global market for artificial intelligence in the education sector accounted for USD 1.55 billion in 2020.

Darktrace, a global leader in cyber security AI, today announced that it has won the AI & Machine Learning Award at the 2022 Go:Tech Awards. Backed by Business Leader, one of the UK's leading business titles, the annual Go:Tech Awards celebrate the UK's tech pioneers and innovators. Darktrace was named winner in the AI & Machine Learning category, an award which showcases pioneers in the artificial intelligence space. Darktrace was the first to apply artificial intelligence to the challenge of cyber security when it brought'Self-Learning AI' to market in 2013. The technology works by learning a sense of'self' for the organization it is defending, enabling it to understand if a cyber-attack is occurring and then to interrupt the malicious activity in real time.

Darktrace, a global leader in cyber security AI, today announced that it has won the AI & Machine Learning Award at the 2022 Go:Tech Awards. Backed by Business Leader, one of the UK's leading business titles, the annual Go:Tech Awards celebrate the UK's tech pioneers and innovators. Darktrace was named winner in the AI & Machine Learning category, an award which showcases pioneers in the artificial intelligence space. Darktrace was the first to apply artificial intelligence to the challenge of cyber security when it brought'Self-Learning AI' to market in 2013. The technology works by learning a sense of'self' for the organization it is defending, enabling it to understand if a cyber-attack is occurring and then to interrupt the malicious activity in real time.