This week, we begin with an article about how the biometrics that were found as a solution for national security by the US after the 9/11 attacks are posing a threat today. Next, we have a piece on how the delays in UK Home Office’s progress in delivering NLED to replace outdated police systems is leading to increasing costs and safety concerns for the public. The following article discusses the issue of identity theft caused to school children due to the leak of their personal information by ransomware hackers. Following that, we have an article examining the role of unstructured data, which usually is left unexplored due to lack of tools, in financial services. Next is a piece about integrating SDOH data into AI to improve risk identification, patient outcomes & reduction in health inequalities. Finally, we have an article on the complementarity of algorithms & deep learning for DeepMind, an AI research organization.
How 9/11 Sparked The Rise Of America’s Biometrics Security Empire
Could biometric technology like facial recognition and fingerprint readers have prevented the September 11 attacks? The idea is a seductive one. So seductive, in fact, that it motivated a congressional hearing on the topic, held on November 14, 2001, just over two months after the attacks. In the highly-charged months after 9/11, identity was framed as a matter of national security, and biometrics was posed as the solution. Now, however, the wisdom of this program is being called into question, especially with the recent news that sensitive biometric records collected by U.S. troops may have fallen directly into the hands of the Taliban.
Delays In Revamping Police Database Could Put The Public ‘At Risk’
The Home Office launched its efforts to develop The National Law Enforcement Data Programme (NLED) in 2016 to replace two police IT systems: the Police National Computer (PNC)1 and the Police National Database (PND)2. The PNC is the most important national policing information system in the UK and has been used as the main database of criminal records since 1974. Front-line officers use it to understand who they are interacting with, but the technology it is based on is becoming obsolete.
Hackers Are Leaking Children’s Data — And There’s Little Parents Can Do
Most don’t have bank passwords. Few have credit scores yet. And still, parts of the internet are awash in the personal information of millions of schoolchildren. The ongoing wave of ransomware attacks has cost companies and institutions billions of dollars and exposed personal information about everyone from hospital patients to police officers. It’s also swept up school districts, meaning files from thousands of schools are currently visible on those hackers’ sites.
Future Of Financial Services Is Built On Unstructured Data
Unlocking the value of unstructured data is the key to the future of financial services. While banks, financial institutions and other capital markets participants continue to innovate to meet the challenges of digital transformation, many fail to utilize the intelligence within the unstructured data that exists across their organizations. Unstructured data promises to yield insight into changing customer needs, allowing firms to stay ahead of future trends, and most importantly stay ahead of the competition.
Using SDOH Data To Enhance Artificial Intelligence, Outcomes
As providers search for ways to improve their methods of care, social determinants of health (SDOH) have become an increasingly popular area of research. These social factors, which impact individuals’ ability to achieve and maintain wellness, are critical to understanding patient health. And through that understanding, medical professionals can identify more tailored and individualized care pathways.
DeepMind Aims To Marry Deep Learning And Classic Algorithms
Will deep learning really live up to its promise? We don’t actually know. But if it’s going to, it will have to assimilate how classical computer science algorithms work. This is what DeepMind is working on, and its success is important to the eventual uptake of neural networks in wider commercial applications. Founded in 2010 with the goal of creating AGI — artificial general intelligence, a general purpose AI that truly mimics human intelligence — DeepMind is on the forefront of AI research.