Tag: How do we know that the Top 3 Voice Recognition Devices like Siri Alexa and Ok Google not spying on us?

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How do we know that the Top 3 Voice Recognition Devices like Siri Alexa and Ok Google are not spying on us?

When you ask Siri a question, she gives you an answer. But have you ever stopped to wonder how she knows the answer? After all, she’s just a computer program, right? Well, actually, Siri is powered by artificial intelligence (AI) and Machine Learning (ML). This means that she constantly learning and getting better at understanding human speech. So when you ask her a question, she uses her ML algorithms to figure out what you’re saying and then provides you with an answer.

So, How do we know that the Top 3 Voice Recognition Devices like Siri Alexa and Ok Google are not spying on us?

The Amazon Echo is a voice-activated speaker powered by Amazon’s AI assistant, Alexa. Echo uses far-field voice recognition to hear you from across the room, even while music is playing. Once it hears the wake word “Alexa,” it streams audio to the cloud, where the Alexa Voice Service turns the speech into text. Machine learning algorithms then analyze this text to try to understand what you want.

But what does this have to do with spying? Well, it turns out that ML can also be used to eavesdrop on people’s conversations. This is why many people are concerned about their privacy when using voice-activated assistants like Siri, Alexa, and Ok Google. However, there are a few things that you can do to protect your privacy. For example, you can disable voice recognition on your devices or only use them when you’re in a private location. You can also be careful about what information you share with voice-activated assistants. So while they may not be perfect, there are ways that you can minimize the risk of them spying on you.

Some applications which have background components, such as Facebook, do send ambient sounds to their data centers for processing. In so doing, they collect information on what you are talking about, and use it to target advertising.

Siri, Google, and Alexa only do this to decide whether or not you’ve invoked the activation trigger. For Apple hardware, recognition of “Siri, …” happens in hardware locally, without sending out data for recognition. The same for “Alexa, …” for Alexa hardware, and “Hey, Google, …” for Google hardware.

Things get more complicated for these three things, when they are installed cross-platform. So, for example, to make “Hey, Google, …” work on non-Google hardware, where it’s not possible to do the recognition locally, yes, it listens. But unlike Facebook, it’s not recording ambient to collect keywords.

Practically, it’s my understanding that the tree major brands don’t, and it’s only things like Facebook which more or less “violate your trust like this. And other than Facebook, I’m uncertain whether or not any other App does this.

You’ll find that most of the terms and conditions you’ve agreed to on installation of a third party App, grant them pretty broad discretion.

Personally, I tend to not install Apps like that, and use the WebUI from the mobile device browser instead.

If you do that, instead of installing an App, you rob them of their power to eavesdrop effectively. Source: Terry Lambert

How do we know that the Top 3 Voice Recognition Devices like Siri Alexa and Ok Google are not spying on us?

Conclusion:

Machine learning is a field of artificial intelligence (AI) concerned with the design and development of algorithms that learn from data. Machine learning algorithms have been used for a variety of tasks, including voice recognition, image classification, and spam detection. In recent years, there has been growing concern about the use of machine learning for surveillance and spying. However, it is important to note that machine learning is not necessarily synonymous with spying. Machine learning algorithms can be used for good or ill, depending on how they are designed and deployed. When it comes to voice-activated assistants such as Siri, Alexa, and OK Google, the primary concern is privacy. These assistants are constantly listening for their wake words, which means they may be recording private conversations without the user’s knowledge or consent. While it is possible that these recordings could be used for nefarious purposes, it is also important to remember that machine learning algorithms are not perfect. There is always the possibility that recordings could be misclassified or misinterpreted. As such, it is important to weigh the risks and benefits of using voice-activated assistants before making a decision about whether or not to use them.

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