The collection of vast amounts of data is necessary to the functioning of AI and machine learning based systems. Where that data is personal data, the idea of consent, informed consent, and the redundancy of consent have become a part of debates on technology and rights. Governments across the world are looking to the potential of AI to open new markets and drive economic growth. In 2018, the Government of India, through Niti Aayog (formerly the Planning Commission), released a discussion paper titled'National Strategy for Artificial Intelligence.' This document stated that "for accelerated adoption of a highly collaborative technology like AI, the government has to play the critical role of a catalyst in supporting partnerships, providing access to infrastructure, fostering innovation through research and creating the demand by seeking solutions for addressing various governmental needs."

Systematic has developed a new AI-powered data analysis tool designed to transform data collection and management, providing commanders with an advanced data capture and analysis capability. SitaWare Insight decision support tool builds upon the successful SitaWare Headquarters C4I system. The new product enhances users' Intelligence Requirements Management (IRM) and Collection Management (CM) capabilities, making it easy to store and retrieve information from multiple sources. Henrik Sommer, SitaWare Insight product manager and domain expert, said, "SitaWare Insight exploits the'data lakes' that militaries control, formed from sensor information, images, videos, documents and more. The solution provides a secure, scalable repository for this information and an AI-powered search function, allowing users to pinpoint data on everything from enemy positions, images, documents to equipment. "It's like a military version of a commercial search engine, allowing access to the information you need, when you need it." It significantly enhances Intelligence Preparation of the Battlefield (IPB), offering advanced decision support through data collection, storage, and analysis. For example, operators could use SitaWare Insight to retrieve information on a particular geographical area, then combine this with the mapping capabilities of SitaWare Headquarters to significantly increase situational awareness and provide users with a range of useful data. Sommer points to Automatic Identification System (AIS) data in the naval domain, where SitaWare Insight can help identify patterns within such information: "SitaWare Insight AI can learn what is normal pattern of life in a certain area and then automatically detect and flag anomalies." SitaWare Insight is further enhanced through advanced image and object recognition technology. As such, it can be trained to identify different military objects like vehicles or equipment, tagging these with the appropriate metadata and storing them in the data lake for future access. "This means that later on, you can search for a specific vehicle type, a general topic, or information on a specific area," Sommer explained, adding that it also provides Natural Language Processing technology. "It can read a document of 100 pages or more then produce a one-page summary of key take aways." SitaWare Insight offers a scalable, future-proof solution through its underlying cloud-native architecture, which ensures security and the correct handling and management of data. It enables users to share data on a need-to-know basis and at different classification levels, defining specific user groups to manage access. SitaWare Insight is a significant enabler for the intelligence branch, operational planners, and the soldier on the ground, providing them with a holistic view of the battlefield. "Operational planners are fully dependant on information from the intelligence community.

Hollywood's worst-case scenario involving artificial intelligence (AI) is familiar as a blockbuster sci-fi film: Machines acquire humanlike intelligence, achieving sentience, and inevitably turn into evil overlords that attempt to destroy the human race. This narrative capitalizes on our innate fear of technology, a reflection of the profound change that often accompanies new technological developments. However, as Malcolm Murdock, machine-learning engineer and author of the 2019 novel The Quantum Price, puts it, "AI doesn't have to be sentient to kill us all. There are plenty of other scenarios that will wipe us out before sentient AI becomes a problem." "We are entering dangerous and uncharted territory with the rise of surveillance and tracking through data, and we have almost no understanding of the potential implications."

While companies show off their robots, autonomous cars and virtual reality headsets at this year's Consumer Electronics Show (CES), Sierra Space is presenting innovations that are out of this world. The company is showcasing a life-size replica of its Dream Chaser spaceplane that will one day take people and cargo to low Earth-orbit. Along with the 30-foot craft, Sierra Space's Large Integrated Flexible Environment (LIFE) habitat, a giant inflatable house for moon colonizers, is also on display - but as a scaled-down version. Sierra Space may be a newcomer to the space industry, but the company has secured a deal with NASA for unmanned flights to the International Space Station (ISS) starting this year. And it is working with Jeff Bezos' Blue Origin to develop a commercial off-Earth outpost called Orbital Reef.

Chatbots for housing associations have the potential to reshape an entire industry through automation and conversational AI. Here's what to expect from this paradigm shift. The Addison Act of 1919 introduced subsidising housing and making it affordable to those who need help the most. With national fervour high following the end of the First World War, Parliament set the ambitious target of financing the construction of 500,000 homes in just three years. Fast forward to today, approximately 3.98 million households across the country in 2020 are socially renting -- the highest number since 2000.

Read on for CPW's highlights of the year's most significant events concerning biometric litigation, as well as our predictions for what 2022 may bring. One of the most critical consumer privacy statutes for biometric litigation has been Illinois' Biometric Information Privacy Act ("BIPA"), which regulates the collection, processing, disclosure, and security of the biometric information of Illinois residents. BIPA protects the "biometric information" of Illinois residents, which is any information based on "biometric identifiers" that identifies a specific person--regardless of how it is captured, converted, stored, or shared. Biometric identifiers are "a retina or iris scan, fingerprint, voiceprint, or scan of hand or face geometry." BIPA has found itself to be one of the most frequent targets for class actions, as it includes a private right of action with liquidated statutory damages, unlike many other data privacy statutes.

Carnegie Mellon University President Farnam Jahanian highlighted the collaboration among government, academia and industry that has propelled Pennsylvania's autonomous vehicle (AV) industry forward during an event Wednesday outlining new legislation regulating AVs in the commonwealth. The legislation, unveiled at CMU's Mill 19 facility at Hazelwood Green by state Sen. Wayne Langerholc Jr., chairman of the Senate Transportation Committee; and Yassmin Gramian, secretary of the Pennsylvania Department of Transportation, would update Pennsylvania's policies around autonomous vehicles to mirror requirements in other states. Jahanian said that the global market for the autonomous vehicle industry will reach about $7 trillion dollars by 2050, with the potential to create countless jobs for workers of all education and skill levels. "While the economic impact of AV promises to be extraordinary, it also holds remarkable potential to enhance quality of life for citizens across the nation and contribute to solving significant societal challenges," Jahanian said, adding that benefits could include improvements to traffic safety and infrastructure maintenance and reductions in carbon emissions. He also noted that the technology's implications could extend to logistics, sustainability, medical care and expanding opportunities for independent living.

Artificial Intelligence (AI) continues to fascinate and rule the world of data science. It has been the one technology that had impacted the maximum number of domains in the last 10 years – and apparently, will continue doing so throughout the current decade. Coupled with Machine Learning (ML), AI-based algorithms have proved to be a game changer in data-based decision-making and predictive models. However, for business value and critical operations, AI algorithms cannot function as an inscrutable black box or operate entirely autonomously without any kind of check point. It is now expected that organizations developing and/or implementing complex AI systems need to factor in explainability into their models to eliminate future complications.

A version of this article was published in TIME's newsletter Into the Metaverse. You can find past issues of the newsletter here. Today marks the one-year anniversary of the 2021 insurrection, when thousands of protesters stormed the U.S. Capitol to dispute the election of President Joe Biden. They injured at least 140 officers, planted pipe bombs and vandalized lawmakers' offices. Their actions ended in five deaths and tested the mettle of American democracy.

We interviewed Karine Perset, from the OECD Directorate for Science, Technology and Innovation in France about the informational pillars that make up strong AI governance for governments worldwide. She offered us numerous insights into how the OECD developed the AI Principles and works with governing bodies to design policies that will keep AI safe and trustworthy into the future. Additionally, we discuss which types of policies are necessary for which types of AI software as well as the scale at which these policies should govern. This could range from city to city at the local level as well as an international level as governments around the world continue to work on global standards for AI governance. In our interview with Perset, we focused on the differences between local, international, and global policies for AI systems and products.