We Got Social Media Wrong. Can We Get AI Right?
daily.jstor.org
daily.jstor.org
Conflicts of interest generate damage.
That is what AI products and services need to avoid.
Facebook is a scrapbooking company that requires very few resources to host tiny posts, …
… wrapped in a megacorp that harnesses vast computing resources in order to manipulate its users into watching ads for hours, making maximal unnecessary purchases, instead of occasionally perusing their friends and families posts.
All the dysfunction, the constant emotional hooks, the rage addictions being fed, the casino aspects of trashy doom scroll content, etc. grow like weeds into an ever more complex jungle, because … conflicts of interest.
It is easy to forget that only 1% of the company’s activity, or maybe 1% of that, is actually needed to host our tiny posts. An extremely basic task.
I'm inclined to think taxing AI used to displace human labor is likely to be far more effective. But I'm not aware of any bills experimenting with this right now.
Regulate what exactly?
Does regulation include scikit-learn? If it is obvious that it does not include scikit-learn then what exactly makes it obvious?
Is it GPU use so we are regulating GPU use? Are we just regulating language models?
Is HN defined as social media?
How can we possibly get things "right" when we don't even bother to define what we are trying to regulate?
It seems obvious that whatever regulation is passed there will be loopholes big enough to drive a truck through that the regulation will be 100% useless. Either that or we go insane and try to regulate linear regression.
I wish lawmakers would first consider whether a purposes law is even complete and clear before deciding if they agree with it. If a law is full of vague descriptions, logical holes, or do much nonsense that the average person couldn't read and understand it there's no point in considering the bill's goals or intent.
The best way to avoid a repeat of this history is to run your AI locally, and retain control.
The counter that I would offer is what are the time-based consequences of us getting something wrong? How quickly do the wheels fall off so to speak?
With cars, which we can say came to be around the 1920s, we didn't start to care about safety or environmental concerns until maybe the 1960s/70s. In that sense, we did some damage and corrected our trajectory 40-50 years later and have been improving them further ever since.
I would say social media evolved much more quickly and the consequences accumulated faster. Specifically around protecting kids (from the beginning we should have had protections in place to keep kids off social media or in a protected version; likewise, parents shouldn't have been allowed to plaster pictures of their kids online.. effectively monetizing them).
So social media went wrong and it went wrong pretty quickly. The odds of us fixing it before a lot more damage is done are low because social media companies also have a lot more power and lobby our government in ways auto could only dream of.
The pace of AI adoption/use will likely match or exceed social media and the consequences of "getting it wrong" will accumulate that much more quickly. Not saying we turn it off, but we should have protective frameworks in place early on or we will do some irreversible damage in excess of social media and at a quicker pace.
I think it's really clear that we did get automobiles wrong.