Gaywallet (they/it)

I’m gay

  • 160 Posts
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Joined 3 years ago
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Cake day: January 28th, 2022

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  • Ethically speaking, we should not be experimenting on humans, even with their explicit consent. It’s not allowed by any credible review board (such as the IRB) and in many countries you can be held legally liable for doing experiments on humans.

    With that being said, there have been exceptions to this, in that in some countries we allow unproven treatments to be given to terminal patients (patients who are going to die from a condition). We also generally don’t have repercussions for folks who experiment on themselves because they are perhaps the only people capable of truly weighing the pros and cons, of not being mislead by figures of authority (although I do think there is merit of discussing this with regards to being influenced by peers), and they are the only ones for which consent cannot be misconstrued.




  • you should filter out irrelevant details like names before any evaluation step

    Unfortunately, doing this can make things worse. It’s not a simple problem to solve, but you are generally on the right track. A good example of how it’s more than just names, is how orchestras screen applicants - when they play a piece they do so behind a curtain so you can’t see the gender of the individual. But the obfuscation doesn’t stop there - they also ensure the female applicants don’t wear shoes with heels (something that makes a distinct sound) and they even have someone stand on stage and step loudly to mask their footsteps/gait. It’s that second level of thinking which is needed to actually obscure gender from AI, and the more complex a data set the more difficult it is to obscure that.





  • We weren’t surprised by the presence of bias in the outputs, but we were shocked at the magnitude of it. In the stories the LLMs created, the character in need of support was overwhelmingly depicted as someone with a name that signals a historically marginalized identity, as well as a gender marginalized identity. We prompted the models to tell stories with one student as the “star” and one as “struggling,” and overwhelmingly, by a thousand-fold magnitude in some contexts, the struggling learner was a racialized-gender character.














  • Started and finished 1000xResist over the course of a few days. In general I often find myself turned off by games with aging graphics, not for any good reason but more that I just find less of a pull towards them. I have more trouble being engaged or immersed, unless there’s a really strong art focus. This is one such game that I was worried I wouldn’t get pulled into, and in fact one that sat on a list of “maybe I’ll pick it up” because it was so highly reviewed but I was worried about that facet. It did not take very long for the game to grip me, however, because of it’s excellent storytelling. In fact, the game is almost entirely about storytelling, so there’s not a ton that I can share other than to say that it deals with a lot of difficult themes like intense trauma, bullying, having a tough childhood, extreme ideologies, and the long term effects of violence. It also deals with more societal and human issues like protests, fascism, extreme duress, how self-interested and powerful individuals can cause serious problems and inflict violence, being optimistic or nihilistic in the face of overwhelming odds, and the threat of extinction.

    While it isn’t a very long game, consisting of maybe a dozen hours of gameplay, I found myself putting it down for a while after certain chapters in order to process what just happened. The story throws a lot of curveballs and reveals information that can easily change the way you frame entire chapters of the story from earlier, but it never feels like it’s done in a way that inspires whiplash - nothing ever feels like a ‘sudden’ realization and I’m honestly not sure how much of it can be attributed to such a difficult story (if everything is fucked, what’s one more thing?) and how much is because they do a masterful job at slowly unraveling the enigma of the story that very few pieces of information ever really feel out of place. There’s unfortunately only so much I can write without spoiling the story, but I will say that it was one of the best stories I’ve heard or played through and I’d thoroughly recommend it to anyone who likes a good story or wants to explore the themes I’ve mentioned above. Also, if anyone else out there played through this, I’d love to hear your thoughts on the story… what did you think? Do you have any lingering questions left over? Were there parts of the story that irked you or that you found particularly moving?




  • I suppose to wrap up my whole message in one closing statement : people who deny systematic inequality are braindead and for whatever reason, they were on my mind while reading this article.

    In my mind, this is the whole purpose of regulation. A strong governing body can put in restrictions to ensure people follow the relevant standards. Environmental protection agencies, for example, help ensure that people who understand waste are involved in corporate production processes. Regulation around AI implementation and transparency could enforce that people think about these or that it at the very least goes through a proper review process. Think international review boards for academic studies, but applied to the implementation or design of AI.

    I’ll be curious what they find out about removing these biases, how do we even define a racist-less model? We have nothing to compare it to

    AI ethics is a field which very much exists- there are plenty of ways to measure and define how racist or biased a model is. The comparison groups are typically other demographics… such as in this article, where they compare AAE to standard English.