Virtual assistants usually hog the spotlight when it comes to talk of artificial intelligence software on smartphones and tablets. But Apple’s Siri, Google Assistant, Samsung’s Bixby and company aren’t the only tools using machine learning to make life easier – other common programmes use the technology, too.
Here is a quick tour through some common AI-driven apps and how you can manage them.
When you set up a new device, you are usually invited to “enroll” in its facial recognition security programme, which captures your image and analyses it so the programme will recognise you in different looks and lighting situations. Later, when you want to unlock the device or use apps like digital payment systems, the camera confirms that your face matches the stored data so you can proceed.
Apple’s Photos and Google Photos use artificial intelligence in several ways, including facial recognition, scene detection and image analysis to automatically sort pictures of people, places and things into albums. This sorting saves you from manually tagging everything and makes it easier to find specific photos in a keyword search. (Apple and Google have technical papers about facial recognition on their sites.)
Apple says all the facial recognition and scene detection in its Photos app is performed locally on the device. You can also edit the People album.
Google Photos retains the face-grouping data in your Google Account. In the settings, you can turn off the face groupings and edit the descriptive tags.
The default camera apps use machine learning in the image processing to produce sharper photos. Apple’s Scene Detection and Photographic Styles features enhance the image based on what is in the picture, and the blur- and noise-reduction editing tools in Google Photos use AI to improve images.
If you have ever been typing along on your phone’s keyboard and noticed suggested words for what you might type next, that is machine learning in action. Apple’s iOS software includes a predictive text function that bases its suggestions on your past conversations, Safari browser searches and other sources.
Google’s Gboard keyboard for Android and iOS can offer word suggestions, and Google has a Smart Compose tool for Gmail and other text-entry apps that draws on personal information collected in your Google Account to tailor its word predictions. Samsung has its own predictive text software for its Galaxy devices.
The suggestions may save you time, and Apple and Google both state that the customised predictions based on your personal information remain private. Still, if you would like fewer algorithms in your business, turn it off. On an iPhone (or iPad), you can turn off Predictive Text in the Keyboard settings.
For some apps like Gmail, you can turn off the predictive text and the use of your personal data for suggestions in the overall settings for your Google Account. On certain Android phones, you can also control permissions or delete data collected by the Android System Intelligence software in the Privacy and Apps settings.
AUGMENTED REALITY APPS
Google Lens (for Android and iOS) and Apple’s Live Text feature use artificial intelligence to analyse the text in images for automatic translation and can perform other helpful tasks like Apple’s “visual look up.” Google Lens can identify plants, animals and products seen through the phone’s camera, and these searches are saved. You can delete the information or turn off the data-gathering in the Web & App Activity settings in your Google Account.
In iOS 15, you can turn off Live Text by opening the Settings app, tapping General and then Language & Region and turning off the button for Live Text. Later this year, Live Text is getting an upgrade in iOS 16, in which Apple stresses the role of “on-device intelligence” in doing the work.
Setting up the software is straightforward because the assistant guides you, but check out the app’s own settings to customise it. And don’t forget the general privacy controls built into your phone’s operating system.
By J.D. Biersdorfer © 2022 The New York Times
This article originally appeared in The New York Times.