A class-action lawsuit has been launched against DeepMind, the Google-owned AI research company, over its use of the personal records of 1.6 million patients from the UK's National Health Service (thanks, AI News). The health data was provided by the Royal Free London NHS Foundation Trust in 2015.DeepMind is known for several achievements, not least kicking everyone's ass at Starcraft 2, but it was given the records in order to create a health app called Streams. This was supposed to be an AI-powered assistant to healthcare professionals and has been used by the UK NHS—but no more. This August it was announced that Streams is being decommissioned, and DeepMind's own 'health' section now returns a server error.The handing-over of patient records to one of the world's biggest technology companies was exposed by New Scientist in 2017, in a report showing that DeepMind had access to far more data than had been publicly announced. The UK Information Commission launched an investigation that ruled the Royal Free hospital hadn't done enough to protect patients' privacy: following which, DeepMind apologised. "Our investigation found a number of shortcomings in the way patient records were shared for this trial," Information Commissioner Elizabeth Denham said at the time. "Patients would not have reasonably expected their information to have been used in this way."The new suit has been launched by lead plaintiff Andrew Prismall, who was a patient at the Royal Free hospital, and includes approximately 1.6 million other affected patients on an 'opt-out' basis—that is, all parties will be included in the action unless they request otherwise."Given the very positive experience of the NHS that I have always had during my various treatments, I was greatly concerned to find that a tech giant had ended up with my confidential medical records," said Prismall in a statement."As a patient having any sort of medical treatment, the last thing you would expect is your private medical records to be in the hands of one of the world’s biggest technology companies. I hope that this case will help achieve a fair outcome and closure for all of the patients whose confidential records were obtained in this instance without their knowledge or consent."

A robot dog design armed with a 6.5 mm Creedmoor sniper rifle capable of precisely hitting targets from 3,940 feet away has been unveiled at the US Army trade show. The'Special Purpose Unmanned Rifle' (SPUR) is the brainchild of Philadelphia-based Ghost Robotics and arms manufacturer SWORD International of Sparks, Nevada. Placed on top of one of Ghost Robotics' existing'quadrupedal unmanned ground vehicle' designs, SPUR can be remotely instructed to load, unload and fire its rifle. The firms have yet to reveal the exact configuration of the weapon, nor how much ammunition the machine is capable of carrying or its reload rate. However, tests have shown that the 6.5mm rounds used in the Creedmoor rifle offer an increase in range over the 7.62x51mm cartridges currently used by US forces. It is also presently unclear how much each robot unit and SPUR attachment will cost to purchase and maintain.

This week's top reads in banking, fintech, payments, cybersecurity, AI, IoT, risk management and much more In this weeks selection; Top Reads Card critics call for credit routing scrutiny Visa Unveils UPC for Blockchain Google abandons plans to offer Plex checking accounts How Do I Get a Job in Crypto? Postings in Industry on the Rise Open Banking is finally here … it's only taken 30 years! Digital bank fined by regulator due to weak anti-money laundering controls How AI is transforming the world of finance How to be cyber smart EC preps antitrust charge over Apple NFC chip access Neobank Alternative: Building a Hybrid Digital-First Bank from Scratch Your Dev Skills Deserve Recognition, so Hack the Email of Your Boss Richer data poised to become the pre-condition for cross-border payments to thrive JPMorgan stiffens vaccination policy Top global companies falling short in protecting domain security Companies Want FASB to Focus on Crypto, ESG-Related Rule Making Bitcoin, 'Green' Details Are Most-Requested Accounting Fixes Why You Should Quit Social Media Permanently What would persuade bank holdouts to share customer data? Spat erupts over postal banking pilot Parents' Ultimate Guide to Cybersecurity BIS GM issues Facebook stablecoin warning Why Windows 11's security is such a big deal Why CEOs become communication chiefs after a cyberattack Companies expect surge in health care costs in 2022 How to Plan and Implement an Ethics & Compliance Risk Assessment Program Tesla Prepares for Wider Release of Its Driver-Assistance Software How do carbon markets work? Card critics call for credit routing scrutiny Visa Unveils UPC for Blockchain Google abandons plans to offer Plex checking accounts How Do I Get a Job in Crypto?

In 2019, a survey from the Center for Digital Government (CDG),* the National Association of Chief Information Officers and IBM found that just 13 percent of state governments reported using artificial intelligence in some noncore part of their operations. Three years later, the same survey yielded very different results. At the NASCIO Annual conference in Seattle this week, Joe Morris with CDG presented some of the study's 2021 findings, and it was clear that the COVID-19 pandemic changed how state and local government are thinking about AI. This year, 60 percent of respondents reported AI is currently in use in their enterprise; 6.7 percent said the tech is widely used across the state, up from just 1 percent in 2019. The shift seems to have come in part from the spike in demand for government services in 2020 when the pandemic hit and states scrambled to find new ways to meet the high volume of citizen needs.

PLEASANTON CA, Sept. 30, 2021 (GLOBE NEWSWIRE) -- The latest study titled "Global Artificial Intelligence in Manufacturing Market Ecosystem By Components; By Deployment; By Technology; By Application; By Device; By Region; By End Users (Logistics, Healthcare, Automotive, Retail, BFSI, Defence, Aerospace, Oil & Gas, Others) Forecast by 2027" published by AllTheResearch, features an analysis of the current and future scenario of the global Artificial Intelligence (AI) in Manufacturing Market. The Global Artificial Intelligence (AI) in Manufacturing Market was valued at USD 2.1 Bn in 2020 and is expected to reach USD 11.5 Bn by 2027, with a growing CAGR of 27.2% during the forecast period. The Artificial Intelligence in manufacturing market is forecasted to grow at a high rate owing to the accelerating innovations in industrial IoT and automation. The manufacturing industry is expected to be among the market leader in the artificial intelligence market. Further, the manufacturing industry is also expected to display the fastest growth during the forecast period due to rapid digital transformation to promote smart solutions in factories, logistics and management.

Adoption of AI technologies among government departments worldwide is increasing, despite concerns from employees about the impact of the technology, according to Gartner. In a research note, Gartner said chatbots are the leading AI technology in terms of adoption by agencies, with half of government organisations having deployed the technology (26%) or planning to do so in the next 12 months (24%). Machine-learning-supported data mining is the next most popular application, with 16% having adopted the technology and 20% planning to do so within 12 months. In total, 84% of are expected to be using chatbots within three years, and 85% are expected to be using machine learning for data mining. Meanwhile, around half of respondents plan to be using other AI technologies such as biometrics, computer vision and GeoAI within the three-year timeframe, and 45% expect to adopt machine translation or deep learning.

In its quest to drive the adoption of artificial intelligence (AI) across the country, multi-ethnic Singapore needs to take special care navigating its use in some areas, specifically, law enforcement and crime prevention. It should further foster its belief that trust is crucial for citizens to be comfortable with AI, along with the recognition that doing so will require nurturing public trust across different aspects within its society. It must have been at least two decades ago now when I attended a media briefing, during which an executive was demonstrating the company's latest speech recognition software. As most demos went, no matter how much you prepared for it, things would go desperately wrong. Her voice-directed commands often were wrongly executed and several spoken words in every sentence were inaccurately translated into text.

It is a critical moment in the race to lead in artificial intelligence (AI) -- and by extension AI talent -- as we rapidly move toward a world where AI is ubiquitous. Taking and keeping the lead in talent means not only having the best and brightest, but an adequate supply across the entire U.S. AI workforce, along with secure domestic talent pipelines. But this is not guaranteed without dedicated policies. Winning the competition for AI talent has never been more urgent. It has been said we are in a modern day "Sputnik moment," where the stakes for inaction are higher than ever.

The Pentagon's first-ever chief software officer abruptly quit earlier this month, and now we know exactly why: Nicolas Chaillan, former CSO of the United States Air Force and Space Force, told the Financial Times that the United States has "no competing fighting chance against China in 15 to 20 years" when it comes to cyberwarfare and artificial intelligence. Chaillan, a 37-year-old tech entrepreneur, added that cyber defenses at many government agencies are at "kindergarten level," and that companies like Google were doing the US a disservice by not working with the military more on AI, since Chinese companies were making a "massive investment" in AI without getting all hung up on the ethics of it all. And while quitting your job because America has already lost the AI race is a bit dramatic, Chaillan isn't the only one who's concerned about China's dominance in this arena. A growing number of leaders in Washington and Silicon Valley are worried about the US falling behind in the race to AI supremacy. Congressional hearings on the future of AI have been going on since 2016, and Chaillan said he plans to testify in some upcoming ones.

Deep Instinct applies deep learning to cybersecurity--going beyond what machine learning can ... [ ] accomplish with a neural network designed to emulate the human brain and learn as it goes. Cyber attacks are not a new issue by any stretch of the imagination--but they are a rapidly growing threat. As the volume and types of technologies businesses and consumers use continues to expand, the attack surface--the configuration errors, vulnerabilities, human errors, or other weaknesses that increase the potential for a successful cyber attack--increases exponentially. To keep pace with the threat landscape, organizations need to rethink their approach to security. According to AVTest, there are more than 18,000 new malware and/or potentially unwanted applications identified every hour.