Presently, Google Play Store's terms and conditions state: "We don't allow content or services that facilitate online gambling, including but not limited to, online casinos, sports betting, lotteries, or games of skill that offer prizes of cash or other value".
Google has been using AI and machine learning to identify suspicious apps on Android's app store, Play Store.
As the world's dominant mobile platform holding approximately 50% of the smartphone market, Google's Android operating system not equipped with real-money gambling capabilities like its rival Apple's iOS due to the general Google policy ban. Android then identifies that action and overrides the application and takes the user back to the home screen, where they can uninstall the app.
As Google points out, most Android apps are there to entertain and assist us, and we grant them access to the data that they need: for instance, a camera app needs access to the camera sensor just as a navigation map needs access to the GPS sensor.
The time spent using those apps is increasing, the report said: from almost 100 minutes per day in Q1 2015, to over 110 minutes in Q1 2016, it reached over 130 minutes per day in Q1 2017. Machine learning will go a long way in creating an Android ecosystem that's safe and sound.
Part of Google's problem is that Project Tango requires specialized hardware, and given the fragmentation problem that still plagues Android, the vast majority of Android users aren't even running Project Tango compatible devices.
The algorithm used in the peer group analysis automates the entire peer group analysis process and only intimidates a human expert once an app with malicious nature is identified and flagged.
At WWDC this year, Apple unveiled ARKit, a new suite of developer tools and frameworks that make creating immersive augmented reality applications easier than ever before. Google uses a technique known as 'peer grouping' to secure the Play Store.
After organizing apps into peer groups, Google uses these clusters to spot "anomalous, potentially harmful signals related to privacy and security, from each app's requested permissions and its observed behaviors".