Privid's a privacy-preserving video analytics system supports aggregation queries, which process large amounts of video data. "Privid" could help officials gather secure public health data or enable transportation departments to monitor the density and flow of pedestrians, without learning personal information about people. Surveillance cameras have an identity problem, fueled by an inherent tension between utility and privacy. As these powerful little devices have cropped up seemingly everywhere, the use of machine learning tools has automated video content analysis at a massive scale -- but with increasing mass surveillance, there are currently no legally enforceable rules to limit privacy invasions. Security cameras can do a lot -- they've become smarter and supremely more competent than their ghosts of grainy pictures past, the ofttimes "hero tool" in crime media.

In its effort to ensure there is no hiding place in the United States for war criminals, genocidaires and other human rights abusers, U.S. Immigration and Customs Enforcement has sought to harness the power of innovation, employing automated facial recognition technology and clever software algorithms to identify perpetrators who might be in, or be traveling to, America, officials told AFCEA's 2021 Federal Identity Forum and Expo Tuesday. War Crimes Hunter (WCH) is a series of customized reusable software tools built by the ICE Homeland Security Investigations (HSI) Innovation Lab in Crystal City, Virginia. It's used by HSI investigators in the Human Rights Violators and War Crimes Unit to try and identify suspected war criminals or other human rights violators. WCH automates the repetitive administrative work, while leaving key decisions to human analysts, explained Amy Nunes, a section chief in the unit. "We automate what we can automate as much as possible, still keeping an [human] analyst in the loop, because we didn't want to risk getting a bunch of [false positives or junk data] that we didn't need," she said.

The US Northern Command, the military command group designated to protect North America from attack, has lobbied Congress for $29.8m to expand its IT infrastructure to better support machine-learning technologies. The request is part of the command's unfunded priorities list for fiscal year 2023, a wish list of all the gear and tech US NORTHCOM and the North American Aerospace Defense Command (NORAD) reckons is needed for building and testing new weapons or operating monitoring systems, totaling some $135 million. The requested IT funding will, we're told, be used to procure cloud computing infrastructure to run AI workloads from US NORTHCOM and NORAD's joint operations center, according to Defense News this week. The goal is to build smart cloud-hosted systems that can process incoming data, generate insight and decision options, and make this intelligence available across the Dept of Defense for leaders to consider. "Maintaining our strategic advantage begins with improving domain awareness globally, including in the approaches to North America," General Glen VanHerk, US NORTHCOM and NORAD's commander, said in a statement before the Senate Armed Forces in late March.

It's not a coincidence that two global multinational investment banks and financial services companies, Morgan Stanley and Goldman Sachs, agrees that the nascent metaverse market could be worth $8 trillion in the future. In its latest Technology Vision 2022 report, titled Meet me in the metaverse, multinational information technology services company, Accenture surveyed more than 4,600 business and technology leaders across 23 industries in 35 countries. Like an arms race, futuristic big tech companies Microsoft, Facebook (FB now Meta), and Apple Inc, Google (now Alphabet) amongst others, are scrambling to sweep up the metaverse. Facebook (now Meta) describes the metaverse as "a set of virtual spaces where you can create and explore with other people who aren't in the same physical space as you". CEO Mark Zuckerberg says Meta is working on egocentric data, which involves seeing worlds from a first-person perspective.

In early March, Clearview A.I. founder, Hoan Ton-That, started reaching out to people who could help him present his technology to the Ukrainian government. Clearview holds a huge database of scraped photos from multiple social media platforms like Facebook, Instagram and Twitter. The facial recognition company is already being used extensively in the U.S. According to Ton-That, the Russian invasion presented another implementation for the technology. "We saw images of people who were prisoners of war and fleeing situations," Mr Ton-That says "It got us thinking that this could potentially be a technology that could be useful for identification, and also verification." Last month, Ukrainian defence authorities began using facial recognition technology.

Artificial intelligence is probably the greatest transformative technology of our generation. Experts predict that the value of the AI market will reach over $266 billion by 2027, representing an 880% increase compared to 2019. As exciting as AI innovation might be from a practical viewpoint, there are also some issues to consider when it comes to ethics in AI. AI is a technology that aims to enhance and unlock human potential. It is here to augment or replicate problem-solving and decision-making capabilities that require a certain level of "human intelligence".

The two European Parliament co-rapporteurs finalised the Artificial Intelligence (AI) draft report on Monday (11 April), covering where they have found common ground. The most controversial issues have been pushed further down the line. Liberal Dragoș Tudorache and social-democrat Brando Benifei have been spearheading the discussion on the AI Act for the civil rights and consumer protection committees of the European Parliament, respectively. "There are things that we agreed already, and they will be in the draft report, and things on which we think that we will agree, but because we haven't found right now the common denominator, we did not put them in the report," Tudorache said. "Our approach has been to make this regulation truly human-centric," Benifei told EURACTIV.

BY RAFFAELLA AGHEMO 2022 APRIL Joint Research Centre study for a correct taxonomy of Artificial Intelligence WRITTEN BY Raffaella Aghemo, Lawyer In the context of AI Watch, the knowledge service of the European Commission to monitor the development, adoption and impact of Artificial Intelligence (AI) for Europe, launched in December 2018, is the recent study carried out by the Joint Research Centre (JRC), entitled "AI Watch - Defining Artificial Intelligence 2.0 - Towards an operational definition and taxonomy for the AI landscape". Furthermore, in April 2021, the European Commission proposed a set of actions to promote excellence in AI and rules to ensure that the technology is trusted. The taxonomy of AI is a classification of the technology itself with concepts originating mainly in mathematics, logic, philosophy and information theory, which has Russel and Norvig's taxonomy as its starting point, and is found in several studies from different perspectives. The classification in question first divides AI into weak or narrow AI (Weak or Narrow AI - ANI) and strong or General AI (AGI). ANI is the type of AI that exists today.

The Internet of Medical Things (IoMT) is rapidly gaining traction as healthcare organizations seek new methods to innovate and stay current with technology in order to help patients and clinicians better monitor and track ailments. The Internet of Things (IoT) has grown rapidly in healthcare in recent years, and the pandemic has accelerated the emergence of IoMT, which several governments have widely used as a strategy to prevent the virus's spread. The industry has one of the greatest rates of IoT investment and growth. A 2020 FICCI-BCG report states that: "Health tracking devices and electronic health records combined with AI and Machine Learning (ML) technologies will not only pave the way for efficient chronic disease management but will also lead to the emergence of efficient clinical decision support systems." The EMBLEM MRI Subcutaneous Implantable Defibrillator (S-ICD) System as well as the EMPOWER Modular Pacing System (MPS), which is planned to be the first leadless pacemaker capable of providing both bradycardia pacing support and anti-tachycardia pacing, make up the mCRM System.

Most of us interact with artificial intelligence (AI) on a daily basis, whether we realize it or not. Every time you ask Alexa or Siri a question or turn to Google to settle a bar bet on who owns the National Football League's record for most career touchdowns (the answer, by the way, is Jerry Rice), you're using AI. In the business world, AI is ubiquitous. From AI bots that can identify, evaluate, and make recommendations for streamlining business processes to cybersecurity systems that continuously monitor data input patterns in order to thwart cyberattacks, AI repeatedly has demonstrated its capacity for processing and analyzing reams of data faster and more accurately than a human ever could.