When robots and virtual assistants learn before us

One of the benefits of Artificial Intelligence that I most admire, and dedicate myself to drawing future scenarios, is that it can work on one of the most precious assets of modern time: time itself.

Imagine, for example, the magic of turning one minute into an hour, and so on. Impossible? Maybe, but if we consider that a task or service could once take an hour but now can be accomplished in a few minutes, we have somehow a transformation of time. When it comes to activities or tasks done by robots, instead of people, I define this as a new time: the time-square.

However, when it comes to people learning — not machines — this logic is not always that simple since we can not inject data, information or knowledge, if you prefer, directly in our memory or brain. At least now, since there are several kinds of research in this sense.

So, how can the time-square logic of the Robots Age have its effects on education? Simple, through the robots themselves and virtual assistants, learning before us.

For a better understanding, imagine that you have little or almost no knowledge of a particular subject, and much less time to devote to it. In this case, you may think of a learning structure, still incipient in the present, but with increasing potential to become reality in the future, to initially determine that some of your robots, or virtual assistants, will begin to learn about the desired subject — if still really new to them –, from simple online search to even participate in events, collecting, processing data and, learning, before you.

From there, you will have a kind of private tutor or mentor to interact – without fear of recognizing and exposing your ignorance on the subject – seeking to learn from your robots and assistants, until you gradually become specialized in the subject wanted.

Within this logic, evidently, it will not be rare to find humanoids circulating in real events and congresses.

Well, this is already a future after this near future that I presented here, to explore on future posts.

By Rogerio Figurelli at 05/31/2020

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