Considering our approach to engaging AI-generated data.

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Perhaps the best approach to preparing ourselves for AI advancements is less about identification and more about deciding what to accept and believe—critical thinking in action.

Since the turn of the millennium, we have seen an exponential increase in the amount of new information.

The world is forever evolving, and, so, we must adapt, ensuring not to solely rest on decline biases.-generated media."I don’t know" was my honest answer. To be completely truthful, I’m not even sure I can. With that, I am confident in my ability to distinguish essays written by students from AI . I can also pretty easily spot dodgy-looking fingers and feet in many AI-generated images. But, of course, such examples are not the case forAI-generated media.

Perhaps a better way of looking at this question of identification is through a pre-emptive lens. That is, let’s assume that we will be duped on a regular basis . I don’t think being able to"spot a fake" is necessarily the right approach. Consistent with a couple of pieces I wrote a while back for this blog, regardingprocess regarding accepting what to believe and the critical thinking necessary for such decision-making than it is about identification per se.

Sounds like a lot of work. Well, no one ever said critical thinking was easy; but, unfortunately, that’s what it takes now if you truly care about the topic you’re thinking about. If you’re a critical thinker, arguably, you’re already somewhat prepared for these advances in AI. We’ve dealt with misinformation for hundreds of years. More recently, we’ve had"deep fakes" .

Understanding what emotional intelligence looks like and the steps needed to improve it could light a path to a more emotionally adept world.

 

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