In an effort to counter the often pernicious effect of biases in artificial intelligence (AI) that can damage people’s lives and public trust in AI, the National Institute of Standards and Technology (NIST) is advancing an approach for identifying and managing these biases — and is requesting the public’s help in improving it.
Technology advancements for data, artificial intelligence (AI), and computing provide an opportunity for security teams to make screening both more effective and efficient, and to improve the detection of concealed weapons.
Artificial intelligence (AI) is the most disruptive innovation in a generation. It is quickly becoming an essential component in many industries, including public safety. However, these are still the nascent stages of AI adoption, and with that, come challenges.
Is your organization struggling with false alarms? If so, consider artificial intelligence-based video analytics using machine learning technology to spot and virtually eliminate false alarms. But before selecting an advanced analytic software offering, ask yourself these seven questions.
Breakthroughs in artificial intelligence (AI) and other digital technology, including faster, more affordable bandwidth, are revolutionizing the ways cities conduct surveillance and provide security. Major cities throughout the U.S. are utilizing turnkey systems that integrate video footage, access management, traffic monitoring and body-worn cameras into central high-speed networks.
The National Institute of Standards and Technology (NIST) has a new document, Artificial Intelligence and User Trust (NISTIR 8332), that is now open for public comment until July 30, 2021. The document's goal is to stimulate a discussion about how humans trust artificial intelligence (AI) systems.
Proposed research at Purdue University is developing innovative solutions using artificial intelligence to enhance the security of current and future Rolls-Royce platforms powered by the company’s propulsion systems.
Technologies such as occupancy management, automated visitor management and touchless access control applications are increasing in demand – turning up the dial on interoperability as organizations seek to deploy best of breed solutions. To power these technologies, Artificial Intelligence (AI), cloud storage and the Internet of Things (IoT) are driving new functionalities and new uses from existing technologies to deliver customized applications for pandemic related health, safety and security issues. While this year might bring a number of uncertainties, we remain confident that the industry will continue to see growth and demand for these trends.
While Artificial Intelligence (AI) has already been introduced into medical facilities – revolutionizing the research and development methods of critical disease treatments, it’s also bringing about a transformation in healthcare security operations. With technologies such as smart cameras and IoT platforms to better manage field level operations, healthcare organizations are seeing the possibility of a more streamlined, efficient and cost-effective way to manage their facilities.
Biometric security solutions and AI-powered fraud prevention technologies have, for several years now, been transforming the ways in which organizations protect their business, their customers, and their employees. In fact, some industry estimates reveal that AI and biometrics have combined to prevent billions of dollars in losses from fraud—already.