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Joined 2 years ago
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Cake day: July 3rd, 2023

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  • I had the same phone, and the only reason I replaced it was because the USB C port was finicky. It must have been damaged at some point and when plugged in, the cable had to be just right. Wireless charging works great, but I wanted the stability of being able to plug in and know it would discharge over night when I didn’t have a wireless charger. Otherwise, I had no issues with the battery, and I got the phone when it was pretty new to the market. I swapped it out just a few months back, and it’s going to be my test phone for grapheneOS and may end up being a communal remote.




  • My only real counter to this is who created the dataset and did the people that were creating the app have any power to affect that? To me, to say something is racist implies intent, where this situation could be that, but it could also be a case where it’s just not racially diverse, which doesn’t necessarily imply racism.

    There’s a plethora of reasons that the dataset may be mostly fair skinned. To prattle off a couple that come to mind (all of this may be known, idk, these are ignorant possibilities on my side) perhaps more fair skinned people are susceptible so there’s more data, like you mentioned that dark skinned individuals may have less options to get medical help, or maybe the dataset came from a region with not many dark skinned patients. Again, all ignorant speculation on my part, but I would say that none of those options inherently make the model racist, just not a good model. Maybe racist actions led to a bad dataset, but if that’s out of the devs control, then I wouldn’t personally put that negative on the model.

    Also, my interpretation of what racist means may differ, so there’s that too. Or it could have all been done intentionally in which case, yea racist 100%

    Edit: I actually read the article. It sounds like they used public datasets that did have mostly Caucasian people. They also acknowledged that fair skinned people are significantly more likely to get melanoma, which does give some credence to the unbalanced dataset. It’s still not ideal, but I would also say that maybe nobody should put all of their eggs in an AI screening tool, especially for something like cancer.