STATES CHRONICLE – Picture a future scenario; not one in the near future, but in the very distant one. Statistics say that there’s a 50-50 chance that you pictured a dystopian future in which robots or artificial intelligence brought us to our doom. However, AI might not be so bad after all, as a human-machine collaboration could solve most of our problems.
Since humanity has thought up the concept of an artificial intelligence, it has associated it with something negative. Despite the fact that all artificial intelligence does is what it is programmed to do, we seem to keep thinking that it will somehow become independent and take us out of the equation.
But if we were to improve on it, and even start working alongside it, we could potentially reach much quicker and efficient solutions to all of our most pressing issues.
An article published today in the journal Science deals with that exact issue, as it proposes a model of machine-human collaboration.
The article speaks of combining two systems that already work pretty well by themselves in order to facilitate our problem solving methods.
By combining human computation (found in most IT companies – humans working to solve a computer generated problem) and computer intelligence (basically the opposite – machines working to solve a problem inputted by a human), we could create a balanced, working system that would allow us to approach some of our biggest problems from multiple angles.
The model suggests a collaboration between the two types of problem solving, in which humans come up with the most out of the box solutions, and computers deal with the more mechanical and straight-forward problems.
This way of approaching problems would be of great benefit in coming up with solutions to our culture’s most daunting problems – the wicked problems, like climate change, starvation, and even deep space exploration.
In order to better exemplify the boons granted by such a practice, the researchers made a reference to a study that is currently in progress, and is employing this exact type of human-machine collaboration.
The team is question is working on a solution for the rapidly spreading Alzheimer’s disease, which is estimated to impact our civilization much more dramatically than it currently is in the next few years.
Employing the use of both crowd-based micro-tasking and human computation, the team managed to reduce the necessary estimated time of solving the solution from decades to only a few years.
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