Per one tech forum this week: “Google has quietly installed an app on all Android devices called ‘Android System SafetyCore’. It claims to be a ‘security’ application, but whilst running in the background, it collects call logs, contacts, location, your microphone, and much more making this application ‘spyware’ and a HUGE privacy concern. It is strongly advised to uninstall this program if you can. To do this, navigate to 'Settings’ > 'Apps’, then delete the application.”
Why do you need machine learning for detecting scams?
Is someone in 2025 trying to help you out of the goodness of their heart? No. Move on.
If you want to talk money then it is in businesses best interest that money from their users is being used on their products, not being scammed through the use of their products.
Secondly machine learning or algorithms can detect patterns in ways a human can’t. In some circles I’ve read that the programmers themselves can’t decipher in the code how the end result is spat out, just that the inputs will guide it. Besides the fact that scammers can circumvent any carefully laid down antispam, antiscam, anti-virus through traditional software, a learning algorithm will be magnitudes harder to bypass. Or easier. Depends on the algorithm
I don’t know the point of the first paragraph…scams are bad? Yes? Does anyone not agree? (I guess scammers)
For the second we are talking in the wild abstract, so I feel comfortable pointing out that every automated system humanity has come up with so far has pulled in our own biases and since ai models are trained by us, this should be no different. Second, if the models are fallible, you cannot talk about success without talking false positives. I don’t care if it blocks every scammer out there if it also blocks a message from my doctor. Until we have data on consensus between these new algorithms and desired outcomes, it’s pointless to claim they are better at X.