Post by yamanhosen5657 on Mar 9, 2024 6:54:17 GMT 1
That could be subject to biases in the data, it's on you to make sure it doesn't generate stereotyped or harmful content. An image generated by Stable Diffusion that shows four engineers, most of whom are men Take the screenshot above. I asked Stable Diffusion to generate "engineer working in a lab, digital art, cool background.
Engineering is a stereotypically male field, and look: of the five figures Stable Diffusion generates, four are clearly men and one is, at best, ambiguous. While this is a fairly mundane example, the biases Panama mobile number list in the datasets run deep. If you're going to use generative AI tools, it's important to acknowledge that—and to take steps to correct for it. While most people developing AI tools are working to make them better than their data, they still rely on training data scraped from the cesspit that is the open internet.
Ethics and AI: When in doubt, review everything One of the big promises of AI is that it's able to operate without constant, active human intervention. You don't need to write the metadata for your blog post—Jasper will do it for you. You don't need to spend hours in Photoshop—DALL·E 2 can make the necessary images for your social media campaign.