Advancements in artificial intelligence can aid in the detection of fake news by analyzing linguistic nuances and contextual details. A recent study developed an AI algorithm that achieved 97% accuracy in classifying news articles as real or fake. Explainable AI is crucial in building trust and refining detection methods. The advantages of using AI include identifying linguistic patterns, automating fact-checking, and tracking suspicious patterns on social media. However, AI is not foolproof and risks perpetuating biases if trained on wrong datasets.

Artificial intelligence is transforming the space industry, particularly in space domain awareness, which involves understanding activities in space. AI analyzes vast data from space sensors to identify anomalies or threats, enabling commercial services. Companies like ExoAnalytic Solutions and Slingshot Aerospace offer satellite tracking services and AI tools to detect unusual behavior. The US Space Force is refining its plan to leverage these innovations, but is taking a cautious approach, with traditional contractors still dominating military programs. The goal is to partner with industry to effectively use commercial services and stay ahead in the rapidly evolving space domain awareness landscape.

US antitrust enforcer Jonathan Kanter is launching a thorough examination of the artificial intelligence sector to prevent potential monopolies. Kanter's concerns center on a few companies holding too much control over the industry, stifling innovation and limiting access to AI technology. His office is investigating areas such as computing power, data, and hardware, particularly the scarcity of graphics processing units essential for training large language models. The government has already taken steps to address this issue, including providing subsidies for chip manufacturing. Kanter's efforts aim to ensure fair competition and prevent a dystopic future where AI benefits only a select few.

A recent study predicts that tech companies will exhaust the supply of publicly available training data for AI language models by 2026-2032, threatening the current pace of progress in AI development. The tens of trillions of words online, used to make AI systems smarter, will soon run out, forcing companies to rely on less-reliable synthetic data or tap into sensitive information. This could lead to degraded performance, bias, and unfairness in AI systems. Researchers are exploring ways to address the issue, which raises questions about the future of human-generated content and online accessibility.

Meta, the parent company of Facebook and Instagram, plans to use public posts and images from its platforms to train its artificial intelligence tools, sparking criticism from digital rights groups who argue it's an abuse of personal data. Under the new privacy policy, users' public posts, images, and comments will be used to "develop and improve" Meta's AI products, but private messages will not be included. Critics argue that processing years' worth of user content is an abuse of personal data, while Meta claims its approach complies with privacy laws and is consistent with other big tech firms.

A recent survey by the Center for Democracy & Technology reveals that teachers continue to struggle with the responsible and safe use of generative AI in their classrooms. Despite 80% of teachers receiving formal training on AI use policies, many lack clear guidance on addressing potential misuse, leading to heavy reliance on ineffective detection tools. This can result in increased disciplinary action and distrust towards students, particularly those with disabilities. The survey highlights the need for schools to provide detailed guidance to educators and for education leaders to address the broader implications of AI use in schools.

A popular US news app, NewsBreak, has been accused of using AI to create false news stories, including a bogus report of a shooting in New Jersey and incorrect information about a food bank in Colorado. Despite presenting itself as a legitimate news source, the app has been publishing erroneous stories since 2021, often rewriting press releases and local news with AI tools. NewsBreak has also faced accusations of copyright infringement and has settled cases with at least two publications. Concerns have been raised about the app's Chinese connections, but the CEO claims compliance with US data and privacy laws.

A recent study tested seven large language models, including those behind ChatGPT, on cognitive psychology tests to gauge their reasoning capacity. The results showed that despite their advanced capabilities, these AI systems struggled with consistent reasoning and made simple errors. They provided varying responses to the same question, made basic mistakes like addition errors, and mistook consonants for vowels. The study highlighted the importance of understanding how these models think before entrusting them with decision-making tasks, and raised questions about whether their limitations and biases could lead to potential pitfalls.

Artificial intelligence is being harnessed to potentially end animal testing in the medical field. AI systems are trawling through existing animal testing results, preventing the need for new tests. Experts believe AI can extract and synthesize data more efficiently than humans, and is already being used to determine a new chemical's toxicity. While AI is not perfect, it's proving to be more accurate than animal testing in some cases. Several projects are underway to replace animal testing, with many experts backing AI as a key player in phasing out the practice.

The Federal Trade Commission and Justice Department are preparing to launch antitrust investigations into Microsoft, Open AI, and Nvidia, focusing on their conduct in the artificial intelligence industry. The FTC will lead the investigation into Microsoft and Open AI, while the DOJ will focus on Nvidia. The probes come as startups gain ground in generative AI, prompting tech giants to invest heavily in integrating AI technology. The investigations will examine investments, partnerships, and potential anti-competitive practices in the rapidly growing AI industry.