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ETHICS, PRIVACY & ORIGINALITY
As a new technology, we are still grappling to understand the extent and nature of bias and privacy risks associated with text-to-image models. While we know the capabilities of these models are impressive, it's important to recognize that they could be magnifying and mirroring societal biases on a global scale. With AI art models trained on private datasets or data crawled from the Internet, there's a possibility that they could produce images embodying or purporting harmful stereotypes.
As an example, the project thispersondoesnotexist.com, which generates a hyper-realistic portrait of a person who never existed, has been widely criticized for failing to generate people with black skin color, which ...
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