Power lies in the details – that’s why generative AI is useful for things we care about the least

Generative AI tools such as ChatGPT and Midjourney can produce text, images and videos far more quickly than any one person can accomplish by hand.

But as someone who studies the societal impacts of AI, I’ve noticed an interesting trade-off: The technology can certainly save time, but it does so precisely to the extent that the user is willing to surrender control over the final product.

For this reason, generative AI is probably most useful for things we care about the least.

Ceding creative control

Let’s use the example of AI image generators. You probably have a rough idea of how they work. Just type what you want – “a panda surfing,” “a piece of toast that is also a car” – and the generative tool draws it.

But this glosses over the countless possible iterations of the desired image.

Will the image appear as a watercolor painting or a pencil sketch? How lifelike will the panda be? How big is the wave? Is the toast-car parked or moving? Is there anyone inside of it?

When the images are generated, these questions have been answered – but not by the user. Rather, the generative AI tool has “decided”.

Of course, the user can be more specific: Imitate the style of Monet. Make the wave twice the height of the panda. Maybe the…

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