A year ago, the idea of holding a meaningful conversation with a computer was the stuff of science fiction. But since OpenAI's ChatGPT launched last November, life has started to feel more like a techno-thriller with a fast-moving plot. Chatbots and other generative AI tools are beginning to profoundly change how people live and work. But whether this plot turns out to be uplifting or dystopian will depend on who helps write it. Thankfully, just as artificial intelligence is evolving, so is the cast of people who are building and studying it.

Fox News Flash top sports headlines are here. Check out what's clicking on Foxnews.com. The prestigious Wimbledon tournament is set to introduce artificial intelligence-powered commentary in July. All England Club has tapped tech giant IBM's Watsonx AI platform to create audio commentary and captions for its video highlight packages. Watsonx is the company's enterprise AI and data platform.

Mizuho Financial Group is giving all its bank employees in Japan access to Microsoft's Azure OpenAI service this week, making it one of the country's first financial firms to adopt the potentially transformative generative artificial intelligence technology. The banking giant will allow 45,000 workers at its core lending units in the country to test out the service, according to Toshitake Ushiwatari, general manager of Japan's third largest bank's digital planning department. Already, managers and rank-and-file employees are submitting dozens of pitches for ways to harness the technology even before the software is installed. There are many staff who are embracing ChatGPT in their private lives, Ushiwatari said in an interview. This could be due to a conflict with your ad-blocking or security software.

MILAN – The rapid adoption of generative artificial intelligence has boosted markets this year, but after the initial euphoria, investors are waking up to the possible risks, including the need to be highly selective in stock-picking. Businesses ranging from IT services and consulting to media, information and education are now under portfolio managers' microscopes to assess the potential for AI disruption. The overall impact for corporate profitability is seen as hugely positive. Yet beyond Nvidia and other obvious winners in the chip sector, analysts warn there might also be losers across Europe and the United States. This could be due to a conflict with your ad-blocking or security software. Please add japantimes.co.jp and piano.io to your list of allowed sites.

Large language models (LLMs) represent a major advance in artificial intelligence (AI) research. However, the widespread use of LLMs is also coupled with significant ethical and social challenges. Previous research has pointed towards auditing as a promising governance mechanism to help ensure that AI systems are designed and deployed in ways that are ethical, legal, and technically robust. However, existing auditing procedures fail to address the governance challenges posed by LLMs, which display emergent capabilities and are adaptable to a wide range of downstream tasks. In this article, we address that gap by outlining a novel blueprint for how to audit LLMs. Specifically, we propose a three-layered approach, whereby governance audits (of technology providers that design and disseminate LLMs), model audits (of LLMs after pre-training but prior to their release), and application audits (of applications based on LLMs) complement and inform each other. We show how audits, when conducted in a structured and coordinated manner on all three levels, can be a feasible and effective mechanism for identifying and managing some of the ethical and social risks posed by LLMs. However, it is important to remain realistic about what auditing can reasonably be expected to achieve. Therefore, we discuss the limitations not only of our three-layered approach but also of the prospect of auditing LLMs at all. Ultimately, this article seeks to expand the methodological toolkit available to technology providers and policymakers who wish to analyse and evaluate LLMs from technical, ethical, and legal perspectives.

Congress apparently has strict limits on the use of ChatGPT and similar generative AI tools. Axios claims to have obtained a memo from House of Representatives administrative chief Catherine Szpindor setting narrow conditions for the use of ChatGPT and similar large language AI models in congressional offices. Staff are only allowed to use the paid ChatGPT Plus service due to its tighter privacy controls, and then only for "research and evaluation," Szpindor says. House offices are only allowed to use the chatbot with publicly accessible data even when using Plus, Szpindor adds. The privacy features have to be manually enabled to prevent interactions from feeding data into the AI model.

The other night, I had an odd conversation with ChatGPT, made somewhat stranger because the AI's answers came out of a humanoid rabbit idly sucking on a juice box. He was standing alone in a virtual novelty store in Second Life, where he had recently been fired. The rabbit, the shop owner explained to me later, was meant to be a clerk, "but he kept trying to sell items that were not for sale." So the rabbit had been demoted to the role of greeter, chatting with customers about the nature of comedy, his own existence, or whatever else they cared to ask. BunnyGPT is among the first bots in the virtual world to have its "mind" wired to OpenAI's large language model.

In 2016, an artificial intelligence program called AlphaGo from Google's DeepMind AI lab made history by defeating a champion player of the board game Go. Now Demis Hassabis, DeepMind's cofounder and CEO, says his engineers are using techniques from AlphaGo to make an AI system dubbed Gemini that will be more capable than that behind OpenAI's ChatGPT. DeepMind's Gemini, which is still in development, is a large language model that works with text and is similar in nature to GPT-4, which powers ChatGPT. But Hassabis says his team will combine that technology with techniques used in AlphaGo, aiming to give the system new capabilities such as planning or the ability to solve problems. "At a high level you can think of Gemini as combining some of the strengths of AlphaGo-type systems with the amazing language capabilities of the large models," Hassabis says.

Companies in Japan are concerned about students' use of generative artificial intelligence in job applications, a Jiji Press survey has found. "Accurately grasping students' personalities from their employment applications created by generative AI would be difficult," an employee of a major transportation company said. The questionnaire survey covered around 60 major domestic companies, with responses having been received from 38 of them as of June 14. This could be due to a conflict with your ad-blocking or security software. Please add japantimes.co.jp and piano.io to your list of allowed sites.

As Google and OpenAI have grown more secretive about their most powerful AI models, Meta has emerged as a surprising corporate champion of open-source AI. In February it released LLaMA, a language model that's less powerful than GPT-4, but more customizable and cheaper to run. Meta initially withheld key parts of the model's code and planned to limit access to authorized researchers. But by early March those parts, known as the model's "weights," had leaked onto public forums, making LLaMA freely accessible to all.