This article was 1st published on our sister Site, The Internet Of All Things.
The future needs to be more human (and less machine).
For decades now, we have created computer programming languages and forced entire generations across the globe into becoming engineers and learning how to code.
And the result?
We have succeeded beyond our wildest dreams (we’ve created machines that can now learn on their own), and we have failed beyond our worst nightmares (we’ve created “black box” artificial intelligence (AI) which we don’t — and can’t — understand).
It’s time for us to rethink the future we’re so effectively creating. I’m concerned by this trend, where we focus our mental energy into machines, rather than having them understand us more.
And I’m not alone.
Industry and thought leaders across a wide array of disciplines have advocated for having machines understand our languages, instead of having people understand machines’ languages. This argument has recently moved beyond code. The uncharted new territory of machine learning has made it virtually impossible to understand why machines make the decisions they do.
How machines talk to each other is worth a deeper discussion, especially since Google’s Neutral Machine translation system went live last year, and more recently, Microsoft researchers discovered that their AI has invented its own language to write code — which it could use to talk to machines — and each other, without us even understanding it. Eventually, it means that technology works out certain decisions with itself.
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