Emerging events, such as the COVID pandemic and the Ukraine Crisis, require a time-sensitive comprehensive understanding of the situation to allow for appropriate decision-making and effective action response. Automated generation of situation reports can significantly reduce the time, effort, and cost for domain experts when preparing their official human-curated reports. However, AI research toward this goal has been very limited, and no successful trials have yet been conducted to automate such report generation. We propose SmartBook, a novel task formulation targeting situation report generation, which consumes large volumes of news data to produce a structured situation report with multiple hypotheses (claims) summarized and grounded with rich links to factual evidence. We realize SmartBook for the Ukraine-Russia crisis by automatically generating intelligence analysis reports to assist expert analysts. The machine-generated reports are structured in the form of timelines, with each timeline organized by major events (or chapters), corresponding strategic questions (or sections) and their grounded summaries (or section content). Our proposed framework automatically detects real-time event-related strategic questions, which are more directed than manually-crafted analyst questions, which tend to be too complex, hard to parse, vague and high-level. Results from thorough qualitative evaluations show that roughly 82% of the questions in Smartbook have strategic importance, with at least 93% of the sections in the report being tactically useful. Further, experiments show that expert analysts tend to add more information into the SmartBook reports, with only 2.3% of the existing tokens being deleted, meaning SmartBook can serve as a useful foundation for analysts to build upon when creating intelligence reports.

As generative AI and its eerily human chatbots explode into the public realm -- including Google's Bard, released yesterday -- Silicon Valley looks ripe for another big era of disruption. Think about the era of personal computers, or online businesses, or social platforms, when an accessible, unpredictable new idea shakes up the establishment. But unlike earlier disruptions, the reality of the generative AI race is already looking a little … top-heavy. With AI, the big innovation isn't the kind of cheap, accessible technology that helps garage startups grow into world-changing new companies. The models that underpin the AI era can be extremely, extremely expensive to build.

Mr Aguilar says Miami police treats facial recognition like a tip. "We don't make an arrest because an algorithm tells us to," he says. "We either put that name in a photographic line-up or we go about solving the case through traditional means."

The US Federal Trade Commission is paying close attention to developments in artificial intelligence to ensure the field isn't dominated by the major tech platforms, Chair Lina Khan said Monday. "As you have machine learning that depends on huge amounts of data and also a huge amount of storage, we need to be very vigilant to make sure that this is not just another site for big companies to become bigger," Khan said at an event hosted by the Justice Department in Washington.

ChatGPT-like AI systems will impact 80 percent of US jobs, with personal financial advisors and brokers, insurers and data processors at the top of the list. The warning comes from researchers at OpenAI and the University of Pennsylvania, who investigated whether the technology could complete tasks faster than humans. The team found that about 15 percent of all worker tasks could be completed significantly faster by AI and with the same level of quality. The warning comes from researchers at OpenAI and the University of Pennsylvania, who investigated whether the technology could complete tasks faster than humans. 'Exposure' means how much a job will be impacted by AI Fears of software eliminating human jobs have recently made waves across the globe following the launch of ChatGPT in November and its ability to perform eerily-human professional tasks such as writing emails and resumes.

In the popular imagination, AI is often portrayed as a Frankenstein-esque mistake: a creation that comes to destroy its creator. Stephen Hawking was once asked, "What could a robot do that I couldn't then fight back with by just unplugging him?" There's a story that scientists built an intelligent computer. The first question they asked it was: "Is there a God?" The computer replied: "There is now."

The internet has been enthralled with the rise of AI starting with the introduction of the Artificial Intelligence image generation program DALL-E 2 to the public in November 2022. Programs like ChatGPT have already begun to change how we use the internet, and huge organizations such as Microsoft and the British government have started investing hundreds of millions of dollars into creating new AI technology. AI is going to be around for a while and, like with every other advancement in technology, will inevitably cause some problems. Programs like ChatGPT have the potential to radically change how we interact with our devices, but that potential needs to be realized while understanding the limits of the technology and protecting the rights of workers. Before we unpack what limits may need to be placed on AI, it is important to understand what makes the tech useful. Recently, the introduction of the massively improved GPT-4 has shown that AI has the potential to be a great asset to society.

An image of Pope Francis, the leader of the Catholic church, wearing a large, white puffer jacket has gone viral on social media in the past few days. The 86-year-old pontiff looks stylish, with many people commenting on his fashionable clothes. There is just one problem: the image isn't real. The pictures above were generated by the artificial intelligence Midjourney, which produces images based on text prompts, and were posted on Reddit on 24 March by an artist who goes by the name of u/trippy_art_special. The user's account has since been suspended, but one image (the left-hand one) has since spread across Twitter, where it has fooled many.

She wanted to know if I had any suggestions, and asked what I thought all the new advances meant for lawmakers. I've spent a few days thinking, reading, and chatting with the experts about this, and my answer morphed into this newsletter. Though GPT-4 is the standard bearer, it's just one of many high-profile generative AI releases in the past few months: Google, Nvidia, Adobe, and Baidu have all announced their own projects. In short, generative AI is the thing that everyone is talking about. And though the tech is not new, its policy implications are months if not years from being understood.

Google typically gets the blame for the lack of competition in web search. The US government is even suing to block the company from using allegedly monopolistic tactics, like making itself the default search engine in widely used software such as Android, Chrome, and Safari. But some upstart search engines trying to woo users with privacy protections or ad-free searches say their latest challenge doesn't come from Google. Search startups have long relied on licensing search results from Bing, tapping a web indexing operation larger than a small company could easily afford and adding their own features and ways of parsing queries. But Microsoft's rollout of a Bing search chatbot based on technology underlying OpenAI's ChatGPT has prompted concerns that Microsoft is unfairly squeezing out its search data customers as it launches a renewed attempt to bite off more market share from Google.