Rishi Sunak is scrambling to update the government's approach to regulating artificial intelligence, amid warnings that the industry poses an existential risk to humanity unless countries radically change how they allow the technology to be developed. The prime minister and his officials are looking at ways to tighten the UK's regulation of cutting-edge technology, as industry figures warn the government's AI white paper, published just two months ago, is already out of date. Government sources have told the Guardian the prime minister is increasingly concerned about the risks posed by AI, only weeks after his chancellor, Jeremy Hunt, said he wanted the UK to "win the race" to develop the technology. Sunak is pushing allies to formulate an international agreement on how to develop AI capabilities, which could even lead to the creation of a new global regulator. Meanwhile Conservative and Labour MPs are calling on the prime minister to pass a separate bill that could create the UK's first AI-focused watchdog.

The following essay is reprinted with permission from The Conversation, an online publication covering the latest research. For some people, the term "black box" brings to mind the recording devices in airplanes that are valuable for postmortem analyses if the unthinkable happens. For others it evokes small, minimally outfitted theaters. But black box is also an important term in the world of artificial intelligence. AI black boxes refer to AI systems with internal workings that are invisible to the user.

The analysis, by a researcher at Carnegie Mellon University (CMU), appears in Communications of the ACM, published by the Association for Computing Machinery. "People are worried about the risks of granting rights to robots," notes Tae Wan Kim, Associate Professor of Business Ethics at CMU's Tepper School of Business, who conducted the analysis. "Granting rights is not the only way to address the moral status of robots: Envisioning robots as rites bearers -- not a rights bearers -- could work better." Although many believe that respecting robots should lead to granting them rights, Kim argues for a different approach. Confucianism, an ancient Chinese belief system, focuses on the social value of achieving harmony; individuals are made distinctively human by their ability to conceive of interests not purely in terms of personal self-interest, but in terms that include a relational and a communal self.

Rapid advances in artificial intelligence (AI) such as Microsoft-backed OpenAI's ChatGPT are complicating governments' efforts to agree to laws governing the use of the technology. The government is consulting Australia's main science advisory body and is considering the next steps, a spokesperson for the industry and science minister said in April. The Financial Conduct Authority, one of several state regulators tasked with drawing up new guidelines covering AI, is consulting with the Alan Turing Institute and other legal and academic institutions to improve its understanding of the technology, a spokesperson said. Britain's competition regulator said on May 4 it would start examining the effect of AI on consumers, businesses and the economy, and whether new controls were needed. Britain said in March it planned to split responsibility for governing AI between its regulators for human rights, health and safety, and competition, rather than creating a new body. China's cyberspace regulator in April unveiled draft measures to manage generative AI services, saying it wanted firms to submit security assessments to authorities before they launch offerings to the public.

Unless you've been living under a rock, you've probably heard the term "generative AI" at least a handful of times now, perhaps thanks to the wildly popular ChatGPT service. The AI-powered chatbot's success didn't just shine a spotlight on OpenAI, the creator behind it, but it also catalyzed an AI arms race in the tech industry – a race from which Apple has been noticeably absent. Earlier this month, Google made a flurry of AI-related announcements at its annual developer conference, including a new AI-infused version of search and Bard, its AI-powered chatbot, which is being rolled out across the world. Before that, Microsoft built generative AI into its suite of long-established productivity apps like Word, PowerPoint and Outlook in a move that's changing how more than a billion people work. In February, Meta released its own sophisticated AI model, which has many of the same capabilities at ChatGPT and Bard, as open-source software for public use.

Russia unleashed another widespread missile and drone attack overnight on cities across Ukraine, including targeting the capital, Kyiv, for the 10th time this month, Ukrainian officials said on Friday. At least three cruise missiles and six attack drones managed to evade air defenses, according to Ukraine's Air Force. There was no immediate information on casualties or what was hit. The air force said in a statement that three cruise missiles and 16 Iranian-made Shahed-136 drones had been intercepted, and local officials in Lviv said that five of those were over their region, in western Ukraine. The attack drones came in "several waves" with short intervals in between, according to the city's military administration, which said all had been shot down.

Last week, at Google's annual conference dedicated to new products and technologies, the company announced a change to its premier AI product: The Bard chatbot, like OpenAI's GPT-4, will soon be able to describe images. Although it may seem like a minor update, the enhancement is part of a quiet revolution in how companies, researchers, and consumers develop and use AI--pushing the technology not only beyond remixing written language and into different media, but toward the loftier goal of a rich and thorough comprehension of the world. ChatGPT is six months old, and it's already starting to look outdated. That program and its cousins, known as large language models, mime intelligence by predicting what words are statistically likely to follow one another in a sentence. Researchers have trained these models on ever more text--at this point, every book ever and then some--with the premise that force-feeding machines more words in different configurations will yield better predictions and smarter programs.

If you're looking for a reason the world will suddenly end, it's not hard to find one--especially if your job is to convince people they need to buy things to prepare for the apocalypse. "World War III, China, Russia, Iran, North Korea, Joe Biden--you know, everything that's messed up in the world," Ron Hubbard, the CEO of Atlas Survival Shelters, told me. His Texas-based company sells bunkers with bulletproof doors and concrete walls to people willing to shell out several thousand--and up to millions--of dollars for peace of mind about potential catastrophic events. Lately, interest in his underground bunkers has been booming. "When the war broke out in Ukraine, my phone was ringing every 45 seconds for about two weeks," he said.

For weeks after his bizarre conversation with Bing's new chatbot went viral, New York Times columnist Kevin Roose wasn't sure what had happened. "The explanations you get for how these language models work, they're not that satisfying," Roose said at one point. "No one can tell me why this chatbot tried to break up my marriage." He's not alone in feeling confused. Powered by a relatively new form of AI called large language models, this new generation of chatbots defies our intuitions about how to interact with computers.

Since the tech industry began its love affair with machine learning about a decade ago, US lawmakers have chattered about the potential need for regulation to rein in the technology. No proposal to regulate corporate AI projects has got close to becoming law--but OpenAI's release of ChatGPT in November has convinced some senators there is now an urgent need to do something to protect people's rights against the potential harms of AI technology. At a hearing held by a Senate Judiciary subcommittee yesterday attendees heard a terrifying laundry list of ways artificial intelligence can harm people and democracy. Senators from both parties spoke in support of the idea of creating a new arm of the US government dedicated to regulating AI. The idea even got the backing of Sam Altman, CEO of OpenAI.