To take a completely different approach in terms of 'derivative works': Say we have a bunch of profile images, and then describe them in text. "Blonde, caucasi

To take a completely different approach in terms of 'derivative works': Say we have a bunch of profile images, and then describe them in text. "Blonde, caucasian, large nose, curls, receding hairline, strong jaw, big ears", or perhaps even more specific stuff like "has a mole on the left cheek at the same height as the right earlobe" and "right nostril is larger than the left" and "dimple in chink". Based on a description like this, we could identify an individual in probably a short paragraph. Nonetheless, on the data side, this is a lot less information than is represented by the raw pixels. When it comes to the topic of CA's tools, and 'psychosocial' targeting, we can't separate the broader context and the way in which one single term can encode tons of data ("looks like George Clooney with a bigger forehead"). I'd argue the same princple applies to political views, and personality.