How bosses could soon be monitoring employees even in their spare time! All-knowing smartphones developed for the Pentagon may soon become commonplace
- The US government may soon monitor all employees' activities using AI
- A startup is creating a mobile system that can learn everything about its user
- It will constantly track behaviour, activity and create an identity profile
- The AI generated profile replace employee access cards and system passwords
Bosses could soon be monitoring employees even in their spare time, if developments at the US's Department of Defense (DOD) are anything to go by.
A New-York based startup has been awarded £1.87 million ($2.42mn)to create an AI driven phone that constantly learns what its user is doing.
The phone will know its user so well that it can tell a change in identity through the way the user walks, types messages and the activities they undertake.
The system would replace all common access cards and passwords for the Defence Department and know if someone else is using the device.
Scroll down for video
Bosses could soon be monitoring employees even in their spare time, if developments at the US's Department of Defense (DOD) are anything to go by. A New-York based startup has been awarded £1.87 million ($2.42mn) to create an AI driven phone that constantly learns what its user is doing
TWOSENSE.AI, the early-stage startup behind the system, will be providing the 'multi-factor' authentication system for smartphone and computer workstations.
The company's technology is a form of deep learning, which uses algorithms to create personalised profiles of the characteristics of an individual.
It does this using behavioural data or 'biometrics' of each person, such as the way they walk, interact with their phone, commute to work, and how and where they spend their time.
It's the AI equivalent of a person's fingerprint but is much harder to breach as the system is constantly feeding back on multiple traits and will know if someone else is using the phone.
Share this article
TWOSENSE.AI will be providing a 'multi-factor' authentication system for smartphone and computer workstations. The company's deep learning technology, which tracks the behaviour of an individual, such as the way they walk, interact with their phone, commute to work, and how and where they spend their time is the AI equivalent of a fingerprint
The continuous authentication system also claims to be much more user friendly.
It will remove common authentication challenges, such as a forgotten passwords.
Dr. Dawud Gordon, CEO of TWOSENSE.AI, which is working with the Defense Information Systems Agency (DISA) said: 'Both DISA and TWOSENSE.AI believe that continuous authentication is the cornerstone of securing identity'.
'Behavior-based authentication is invisible to the user, therefore it can be used continuously without creating any extra work.'
The company, whose website states 'The password is you' on its front page, cites its expertise in data fusion, deep learning and behavioural detection.
HOW DOES ARTIFICIAL INTELLIGENCE LEARN?
AI systems rely on artificial neural networks (ANNs), which try to simulate the way the brain works in order to learn.
ANNs can be trained to recognise patterns in information - including speech, text data, or visual images - and are the basis for a large number of the developments in AI over recent years.
Conventional AI uses input to 'teach' an algorithm about a particular subject by feeding it massive amounts of information.
AI systems rely on artificial neural networks (ANNs), which try to simulate the way the brain works in order to learn. ANNs can be trained to recognise patterns in information - including speech, text data, or visual images
Practical applications include Google's language translation services, Facebook's facial recognition software and Snapchat's image altering live filters.
The process of inputting this data can be extremely time consuming, and is limited to one type of knowledge.
A new breed of ANNs called Adversarial Neural Networks pits the wits of two AI bots against each other, which allows them to learn from each other.
This approach is designed to speed up the process of learning, as well as refining the output created by AI systems.
One giant step for Virgin: Richard Branson claims he'll fly to space in JULY to coincide with the 50th anniversary of the Apollo moon landing
