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11 skills you’ll need to use AI effectively

Like so many flashy new contraptions, artificial intelligence is off to a fast and roaring start. The only thing is that artificial intelligence is not a fad. We’ve been dealing with it that way so far – giddy and mostly ill-conceived.

I’m not referring to the big companies whose very existence depends on it. I talk about us as individuals, and play it out in absurd and inconsequential ways. If artificial intelligence is going to change not only the world in general but the lives of everyone in it, why would we rush into it without considering more than we are? This is not a game. It is the new world order.

With this, the most important question we can ask ourselves – after, of course, what are our ethical responsibilities – is: What skills will we need in order to use AI effectively? What does the word “effective” mean? Creatively, productively, resourcefully and usefully.

Knowing no one has all the answers, I consulted with a few friends and colleagues—six, in fact—to see if there was some kind of consensus. She was there, and here, for now, is our answer. (For fun, I also asked the AI. Not surprisingly, the AI ​​agreed with us for the most part, but it missed a few slams. We’ll get to that later.)

It is noteworthy that here we are interested in the skills that artificial intelligence possesses users They will need it, and not the one that artificial intelligence uses builders (Technicians) will need. This is another cat of fish altogether.

1. digital literacy

This is essential: basic computer skills, online navigation, and comfort with new AI software as it evolves.

2. Data literacy

Understand how AI systems use data and how we use (and misuse) data. This includes data collection techniques, data privacy, and potential for data bias.

3. Linguistic literacy

It means how a language works and how its components – vocabulary, grammar, syntax, semantics, and phonetics – work together. The better you are at this, the better the AI ​​will be.

4. critical thinking.

The ability to evaluate information and knowledge provided by artificial intelligence. Remember that AI deliverables depend on data patterns, and how that data is collected by AI and presented to you can vary widely. who poses…

5. Common sense

While you’re in awe of how much data an AI can grab in a nanosecond and present to you the way you want it, keep in mind that – according to industry experts – 70% of its output could be wrong, suspicious or irrelevant.

6. Text-to-text interaction.

Effective use of voice assistants has been science fiction for 50 years. today? Ask Alexa how important she is.

7. personalization

AI doesn’t have to be an ordinary suit; The jumpsuit can be made to order. Learn about settings.

8. AI-powered creativity

Creativity and its offspring, innovation, are the result of simulating creative dissatisfaction with the status quo. We’re all born with a sense of creativity – that’s how babies explore their new world – but we lose it over time by seeking comfort in the status quo. Get in touch with your creativity and ask AI for help.

9. Professional ethics

Artificial intelligence has the potential to do more good or harm than any other invention in history. Go back and take the ethics course you should have taken in school.

10. cooperation

Like most other endeavors, teams go further than individuals. Hone your team building skills.

11. AI is here now

Stay up-to-date with the AI ​​back-and-forth. The nature, speed, and scope of change in AI will certainly make our heads spin, but we don’t have a choice. AI is rapidly shifting from a strategic advantage to an operational advantage.

This list will certainly change in both detail and scope. In fact, it may have happened during the time it took me to read this column. This should tell you how you should use the AI ​​effectively in your game.

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