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[return to "Imagen, a text-to-image diffusion model"]
1. daenz+b5[view] [source] 2022-05-23 21:20:13
>>kevema+(OP)
>While we leave an in-depth empirical analysis of social and cultural biases to future work, our small scale internal assessments reveal several limitations that guide our decision not to release our model at this time.

Some of the reasoning:

>Preliminary assessment also suggests Imagen encodes several social biases and stereotypes, including an overall bias towards generating images of people with lighter skin tones and a tendency for images portraying different professions to align with Western gender stereotypes. Finally, even when we focus generations away from people, our preliminary analysis indicates Imagen encodes a range of social and cultural biases when generating images of activities, events, and objects. We aim to make progress on several of these open challenges and limitations in future work.

Really sad that breakthrough technologies are going to be withheld due to our inability to cope with the results.

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2. meetup+j8[view] [source] 2022-05-23 21:37:32
>>daenz+b5
One of these days we're going to need to give these models a mortgage and some mouths to feed and make it clear to them that if they keep on developing biases from their training data everyone will shun them and their family will go hungry and they won't be able to make their payments and they'll just generally have a really bad time.

After that we'll make them sit through Legal's approved D&I video series, then it's off to the races.

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3. aaaaaa+2b[view] [source] 2022-05-23 21:53:13
>>meetup+j8
Reinforcement learning?
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