As a tech geek and a writer, I love discussions about topics like IoT, Blockchain and AI - and their impact in our daily lives, with my friends. I am sure they are waiting for the day I show up at the house in a fully operating Iron Man-like suit. I still believe I can do that one day.

Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making—and already it is transforming every walk of life.  AI is everywhere in tech right now, said to be powering everything from your TV to your toothbrush, but never have the words themselves meant less. It is been deployed :

  • In healthcare
  • In warfare
  • Helping people make music and books
  • Tweaking photos you take on your phone

In short, it’s making decisions that affect your life whether you like it or not. There is other amazing AI technology like Amazon's small blue cooler on wheels which is the newest delivery person. It’s better to talk about “machine learning” rather than AI as most experts suggest. How does machine learning work? Over the past few years, I’ve read and watched dozens of explanations, and the distinction I’ve found most useful is right there in the name: machine learning is all about enabling computers to learn on their own.

Machine learning is great but then think about the disadvantages, too. I remember Elon Musk tweeting about the dangers to humanity about the coming of a robot apocalypse. He described AI as "summoning the demon". "There should be some regulatory oversight at the national and international level, just to make sure we don't do something very foolish," he added.

These technologies make up most AI tools today.

Teaching computers to learn for themselves is a brilliant shortcut. And like all shortcuts, it involves cutting corners. There’s intelligence in AI systems if you want to call it that. If a machine makes a decision, what happens if it gets it wrong? Think about that question. I'm not against the technology but I'm actually eager to see how the world would be like in about 2 decades from now.

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