Incase You Didn't Know It, The Way Most People Think Of Smart Assistants Is Actually False

AI technologies are changing the world. Whether we like it or not, artificial intelligence is everywhere. There's an increasing sense that everyone has a personal assistant (though there have been exceptions) and our brains will adapt to all those tools – even if you don't want them. The next great change for us as human beings may just be in how fast people learn new things at higher speeds than they could do without these advancements.

We know of several smart assistants that are already in your home: Siri, Alexa, Cortana, Google Assistant, Yandex's Alice, and several other smaller niche companies making smart speakers. Do people fully trust their devices with their data though?

In short-sighted ways, it is easy for people to feel betrayed when they've trusted their device to do something which its developer has explicitly stated isn't possible without human input. Gavin McInnes recently explained why he found Microsoft was "quite confident" these future AI products wouldn't be capable of tinkering around and messing with your data on your behalf: A machine learning algorithm can only come up from data collected by humans, not information gathered through experiments done via algorithms. The reason we're seeing this today rather than 10 or 20 months ago is because scientists cannot tell any particular pattern—it doesn´t happen overnight.

The vast majority of people do not understand what happens with their data and nor do they really care to. If the smart device does what it's supposed to do, most people don't need to know what's going on behind the scenes.

As long as they are helpful, we should expect this change because these devices could help us manage the vast array of information stored in cyberspace today: from documents on laptops to emails saved for later viewing online. But with smartphones now allowing people access across borders or anywhere at any time, what is it about smart assistants that makes someone choose their own brand?

For one let's take a look at Apple's Siri.

Is there any such thing as an independent product or service on par with Siri in terms of marketing value, either for its ability to replace human speech and data input (in the way Watson did)? People feel a human presence with Siri, as if they are alongside a "person" operating inside your personal ecosystem who takes you through all day long things with ease. Whether that's through giving voice suggestions by speaking words into microphone or inputting text data into Siri resulting in automated search results.

This creates a problem for some users: Which smart assistant to buy and why would everyone want one?

There's plenty of choices of smart assistants available, however, there's no way to say "the best smart speaker is" this one or that one. Consumers can only make an educated guess and make a leap of faith into their choice of smart assistant. Each company has tethered to their smart device proprietary products and services, for instance Amazon's Alexa is tethered to their many Amazon services, and the same can be said for Google, Yandex, Apple, and Microsoft. The speed and accuracy of these smart automation devices can deliver results is imperative to most users. They want the best answer to their questions or to do a task correctly. This is a problem for these technology companies, because these devices do not always deliver on what they promise.

This problem also has implications for how artificial intelligence (AI) works in the real world. For example: In some areas of computing such as software development, it's increasingly becoming necessary to think about which machines could be more effective at doing things faster and less costly before giving them that role. AI systems have improved tremendously over decades but are still slow compared with our own capabilities; therefore, many researchers need human input when deciding what kinds & types will actually make sense best together.

If an automated system was able to move around a lot quicker then there would be far fewer barriers stopping other competing applications taking their place. This would lead to better automated smart devices, and in a perfect world, if these technology companies could combine their collected data together then we would have much better results.

Smart Assistants have a lot of work ahead of them, but the future is promising.