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> AI can and does have significant bias, as long as it learns from sources influenced by humans with bias Sufficiently advanced AI would be aware of the bias o

by DaUR 10y ago

> AI can and does have significant bias, as long as it learns from sources influenced by humans with bias Sufficiently advanced AI would be aware of the bias of its data, much more than any human ever could. By the way, the IAT has very little credibility, and isn't based on the scientific method but thought up by sociologists. Ironic to use flawed human-made tools to call AI biased. The whole presentation is a joke: she uses a sample size of just a few Trump tweets, and then complains that the output would be biased (duh! sample size!); treated Tay AI tweets that were not written by Tay AI as proof of how "problematic" things can be (Tay could be made to repeat tweets made @ her verbatim, so many of these "problematic tweets" had nothing to do with its AI). She's also arguing that society needs to be reengineered by benevolent """scientists""" (social psychologists) and that people be bombarded with carefully-designed stereotypes to counter the stereotypes we've supposedly internalized. Disappointing to see this from a Princeton grad. > Additionally, you still need to be really careful to write in ways that avoid furthering existing human bias. Usually that involves not using emotionally-loaded "hand grenade words" that bypass peoples' rational minds, and using clickbait headlines written by malicious editors. AI could be made to avoid both.

vertex-four 10y ago
> Sufficiently advanced AI would be aware of the bias of its data, much more than any human ever could. I am unconvinced that we've proven that - that seems like a hopeful wish. > Usually that involves not using emotionally-loaded "hand grenade words" that bypass peoples' rational minds, and using clickbait headlines written by malicious editors. AI could be made to avoid both. It also involves being very, very careful about presentation of data. "Black people in the US are convicted of more crimes" is a perfectly truthful statement - but it turns out that there's an awful lot of nuance to the reasons as to why, which rarely ever have anything to do with one's genetics. And yet there's a good many people who will take that statement as suggesting that black people are inherently significantly more likely to commit crimes, which isn't even close to what was actually said. Specific speech patterns and words also lead to bias. You can quite easily write two articles stating exactly the same set of facts with very little fluff, and still result in differently biased articles. Or, in other words, facts without reasons behind them tend to further bias, and it's only once you have reasons that you can actually start to suggest policy.
- DaUR 10y ago
  You argued that AI was biased. Now you're arguing that AI is too truthful, and that AIs uttering the truth would feed into a small minority's preexisting bias. This just proves my point that AIs are already less biased than humans as is. You also seem to argue for blank slate dogma (that every group difference is caused by unfair government policy or societal "bias") and that provable facts must be silenced unless accompanied by their detailed etiology (which cannot be scientifically or factually verified, and therefore really just serves social purposes). I would argue that we should teach meditation in schools, every day, and that society should be more empathic and less judgmental. It should also be less afraid of truth, and less politically biased. I'm arguing that none of the problems you bring up would be a problem with sufficiently advanced AI. They would move us towards the truth, not away from it. Journalism's current credibility crisis stems solely from its attempts to be "socially useful" rather than truthful. I'm not sure why we should make AI copy us (again ironic since you're against AI taking on human biases).
  - vertex-four 10y ago
    No, I'm arguing that the definition of "bias" is incredibly varied and that being "truthful" but failing to tell the whole story (either because it's unknown, or as an editorial choice as to which data to present, or whatever else) can in itself be a form of bias. Most bias isn't in the form of creating outright lies - it's picking and choosing what data to present. And if your solution is to not pick and choose what data to present, the output of your AI would be a life's work to study.
    - DaUR 10y ago
      AI would allow us to form much more accurate etiologies than the current crop of sociologists, and better recommendations for solutions. There are simply no downsides to AI-journalism. The more you understand the present, the more accurately you can predict the future. Big data increases your knowledge of the present, allowing you to understand what-causes-what much more precisely.
      - 10y ago

by DaUR 10y ago

vertex-four 10y ago

> Sufficiently advanced AI would be aware of the bias of its data, much more than any human ever could. I am unconvinced that we've proven that - that seems like a hopeful wish. > Usually that involves not using emotionally-loaded "hand grenade words" that bypass peoples' rational minds, and using clickbait headlines written by malicious editors. AI could be made to avoid both. It also involves being very, very careful about presentation of data. "Black people in the US are convicted of more crimes" is a perfectly truthful statement - but it turns out that there's an awful lot of nuance to the reasons as to why, which rarely ever have anything to do with one's genetics. And yet there's a good many people who will take that statement as suggesting that black people are inherently significantly more likely to commit crimes, which isn't even close to what was actually said. Specific speech patterns and words also lead to bias. You can quite easily write two articles stating exactly the same set of facts with very little fluff, and still result in differently biased articles. Or, in other words, facts without reasons behind them tend to further bias, and it's only once you have reasons that you can actually start to suggest policy.

DaUR 10y ago
You argued that AI was biased. Now you're arguing that AI is too truthful, and that AIs uttering the truth would feed into a small minority's preexisting bias. This just proves my point that AIs are already less biased than humans as is. You also seem to argue for blank slate dogma (that every group difference is caused by unfair government policy or societal "bias") and that provable facts must be silenced unless accompanied by their detailed etiology (which cannot be scientifically or factually verified, and therefore really just serves social purposes). I would argue that we should teach meditation in schools, every day, and that society should be more empathic and less judgmental. It should also be less afraid of truth, and less politically biased. I'm arguing that none of the problems you bring up would be a problem with sufficiently advanced AI. They would move us towards the truth, not away from it. Journalism's current credibility crisis stems solely from its attempts to be "socially useful" rather than truthful. I'm not sure why we should make AI copy us (again ironic since you're against AI taking on human biases).
- vertex-four 10y ago
  No, I'm arguing that the definition of "bias" is incredibly varied and that being "truthful" but failing to tell the whole story (either because it's unknown, or as an editorial choice as to which data to present, or whatever else) can in itself be a form of bias. Most bias isn't in the form of creating outright lies - it's picking and choosing what data to present. And if your solution is to not pick and choose what data to present, the output of your AI would be a life's work to study.
  - DaUR 10y ago
    AI would allow us to form much more accurate etiologies than the current crop of sociologists, and better recommendations for solutions. There are simply no downsides to AI-journalism. The more you understand the present, the more accurately you can predict the future. Big data increases your knowledge of the present, allowing you to understand what-causes-what much more precisely.
    - 10y ago