The UK competition watchdog has fired a shot across the bows of companies racing to commercialise artificial intelligence technology, announcing a review of the sector as fears grow over the spread of misinformation and major disruption in the jobs market. As pressure builds on global regulators to increase their scrutiny of the technology, the Competition and Markets Authority said it would look at the underlying systems, or foundation models, behind AI tools such as ChatGPT. The initial review, described by one legal expert as a "pre-warning" to the sector, will publish its findings in September. In the US, the vice-president, Kamala Harris, has invited the chief executives of the leading AI firms ChatGPT, Microsoft and Google-owner Alphabet to the White House on Thursday to discuss how to deal with the safety concerns around the technology. The Federal Trade Commission, which oversees competition in the US, has signalled it is also watching closely, saying this week its staff were "focusing intensely" on how companies might choose to use AI technology, in ways that could have "actual and substantial impact on consumers".

Google's acceleration comes as a cacophony of voices -- including notable company alumnae and industry veterans -- are calling for the AI developers to slow down, warning that the tech is developing faster than even its inventors anticipated. Geoffrey Hinton, one of the pioneers of AI tech who joined Google in 2013 and recently left the company, has since gone on a media blitz warning about the dangers of supersmart AI escaping human control. Pichai, along with the CEOs of OpenAI and Microsoft, will meet with White House officials on Thursday, part of the administration's ongoing effort to signal progress amid public concern, as regulators around the world discuss new rules around the technology.

Vice President Kamala Harris will meet on Thursday with the CEOs of four major companies developing artificial intelligence as the Biden administration rolls out a set of initiatives meant to ensure the rapidly evolving technology improves lives without putting people's rights and safety at risk. The Democratic administration plans to announce an investment of $140 million to establish seven new AI research institutes, administration officials told reporters in previewing the effort. In addition, the White House Office of Management and Budget is expected to issue guidance in the next few months on how federal agencies can use AI tools. There will also be an independent commitment by top AI developers to participate in a public evaluation of their systems in August at the Las Vegas hacker convention DEF CON. Harris and administration officials on Thursday plan to discuss the risks they see in current AI development with the CEOs of Alphabet, Anthropic, Microsoft and OpenAI.

The Biden administration's investment in responsible AI research and development is a $140 million grant, which will increase the number of national AI research institutes. These institutes are focused on advancing artificial intelligence research in areas ranging from public health to cybersecurity. The investment is just a fraction of the billions that private sector companies are pouring into advancing the technology. Microsoft previously invested $10 billion in OpenAI.

At its World Tour NYC event, Salesforce has introduced Slack GPT, which it describes as a three-pronged vision that integrates AI features into the business messaging app. Slack GPT is comprised of AI-powered features built natively into the app, a new AI-ready platform that was recently made available to developers, and the availability of Einstein GPT in the app that will power its ability to instantly generate insights and summaries. Einstein GPT was developed by Salesforce as a generative AI for customer relationship management (CRM) and could assist businesses with tasks related to sales. The integrated AI features will give users access to a workflow builder that doesn't require them to know how to code. In it, they can automatically create or update a canvas, which is Slack's tool designed for collaboration.

Bing AI is now open to all--sort of. Three months after debuting its revamped search engine, Microsoft has announced that it's now moving into open preview. You'll still need to sign into Bing on the Edge browser (or the Bing mobile apps) to use the chatbot, but at least you no longer have to deal with a waitlist. As if to celebrate this new phase of Bing (powered by OpenAI's GPT-4), Microsoft is also rolling out several new features. For one, it can go beyond mere text responses to deliver charts, graphs and rich formatting.

The "CyberGuy" Kurt Knutsson says people should embrace but be "terrified of" ChatGPT and warns that TikTok can track people even if the app is not downloaded. As tech experts warn that the rapid evolution of artificial intelligence could threaten humanity, OpenAI's ChatGPT weighed in with its own predictions on how humanity could be wiped off the face of the Earth. Fox News Digital asked the chatbot to weigh in on the apocalypse, and it shared four possible scenarios how humanity could ultimately be wiped out. "It's important to note that predicting the end of the world is a difficult and highly speculative task, and any predictions in this regard should be viewed with skepticism," the bot responded. "However, there are several trends and potential developments that could significantly impact the trajectory of humanity and potentially contribute to its downfall."

Fox News correspondent Grady Trimble has the latest on fears the technology will spiral out of control on'Special Report.' With the growing presence of artificial intelligence in the everyday lives of people around the world, many tech leaders have spoken out about the controversial and revolutionary new technology. Some of the biggest names in tech have differing opinions on AI and how it will impact society as a whole. Even though forms of AI technology have been around for quite a while, AI has exploded in importance this year, and dominated conversation of late, in part because of how quickly the technology has advanced. What follows are thoughts from the tech industry's biggest players on AI: its potential, capabilities, economic impact, risks, and future.

Analysis and extraction of useful information from legal judgments using computational linguistics was one of the earliest problems posed in the domain of information retrieval. Presently, several commercial vendors exist who automate such tasks. However, a crucial bottleneck arises in the form of exorbitant pricing and lack of resources available in analysis of judgements mete out by Hong Kong's Legal System. This paper attempts to bridge this gap by providing several statistical, machine learning, deep learning and zero-shot learning based methods to effectively analyze legal judgments from Hong Kong's Court System. The methods proposed consists of: (1) Citation Network Graph Generation, (2) PageRank Algorithm, (3) Keyword Analysis and Summarization, (4) Sentiment Polarity, and (5) Paragrah Classification, in order to be able to extract key insights from individual as well a group of judgments together. This would make the overall analysis of judgments in Hong Kong less tedious and more automated in order to extract insights quickly using fast inferencing. We also provide an analysis of our results by benchmarking our results using Large Language Models making robust use of the HuggingFace ecosystem.

Artificial Intelligence (AI) is poised to enable a new leap in the creation of scholarly content. New forms of engagement with AI systems, such as collaborations with large language models like GPT-3, offer affordances that will change the nature of both the scholarly process and the artifacts it produces. This article articulates ways in which those artifacts can be written, distributed, read, organized, and stored that are more dynamic, and potentially more effective, than current academic practices. Specifically, rather than the current "early-binding" process (that is, one in which ideas are fully reduced to a final written form before they leave an author's desk), we propose that there are substantial benefits to a "late-binding" process, in which ideas are written dynamically at the moment of reading. In fact, the paradigm of "binding" knowledge may transition to a new model in which scholarship remains ever "unbound" and evolving. An alternative form for a scholarly work could be encapsulated via several key components: a text abstract of the work's core arguments; hyperlinks to a bibliography of relevant related work; novel data that had been collected and metadata describing those data; algorithms or processes necessary for analyzing those data; a reference to a particular AI model that would serve as a "renderer" of the canonical version of the text; and specified parameters that would allow for a precise, word-for-word reconstruction of the canonical version. Such a form would enable both the rendering of the canonical version, and also the possibility of dynamic AI reimaginings of the text in light of future findings, scholarship unknown to the original authors, alternative theories, and precise tailoring to specific audiences (e.g., children, adults, professionals, amateurs).