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Is the rapid advancement in Machine Learning good or bad for society?
For the purposes of this comment, I will try to define good as "improving the quality of life for many people without decreasing the quality of life for another similarly sized group" an vice versa.
I enjoy trying to answer this question because the political discourse around it is too new to have widely accepted answers disseminated by the two American political parties being used to signify affiliation like many questions. However, any discussion of whether something is good or bad for society belongs in a Culture War threat because, even here on The Motte, most people will try to reduce every discussion to one along clear conservative/liberal lines because most people here are salty conservatives who were kicked out of reddit by liberals one way or another.
Now on to the question: Maybe the best way to discover if Machine learning is good or bad for society is to say what makes it essentially different from previous computing? The key difference in Machine Learning is that it changes computing from a process where you tell the computer what to do with data, and turns it into a process where you just tell the computer what you want it to be able to do. before machine learning, you would tell the computer specifically how to scan an image and decide if it is a picture of a dog. Whether the computer was good at identifying pictures of dogs relied on how good your instructions were. With machine learning, you give the computer millions of pictures of dogs and tell it to figure out how to determine if there's a dog in a picture.
So what can be essentialized from that difference? Well before Machine Learning, the owners of the biggest computers still had to be clever enough to use them to manipulate data properly, but with Machine Learning, the owners of the biggest computers can now simply specify a goal and get what they want. It seems therefore that Machine Learning will work as a tool for those with more capital to find ways to gain more capital. It will allow people with the money to create companies that can enhance the ability to make decisions purely based on profit potential, and remove the human element even more from the equation.
How about a few examples:
Recently a machine learning model was approved by the FDA to be used to identify cavities on X-rays. Eventually your dental insurance company will require a machine learning model to read your X-rays and report that you need a procedure in order for them to cover treatment from your dentist. The justification will be that the Machine Learning model is more accurate. It probably will be more accurate. Dentists will require subscriptions to a Machine Learning model to accept insurance, and perhaps dental treatment will become more expensive, but maybe not. It's hard to say for sure if this will be a bad or a good thing.
Machine learning models are getting very good at writing human text. This is currently reducing the value of human writers at a quick pace. Presumably with more advanced models, it will replace commercial human writing all together. Every current limitation of the leading natural language models will be removed in time, and they will become objectively superior to human writers. This also might be a good thing, or a bad thing. It's hard to say.
I think it's actually very hard to predict if Machine Learning will be good or bad for society. Certain industries might be disrupted, but the long term effects are hard to predict.
I would actually argue this is a closer parallel to the cognitive revolution, or homo sapiens first discovery of culture, language, and general cognitive technology. The difference is that with the revolution from fire, or the agricultural revolution, or the industrial revolution, or even the internet, the AI revolution deals with intelligence and a paradigm of thinking itself. The Scientific revolution could also be a close contender, since it dramatically increase our ability to think and use our knowledge.
Agree strongly here.
The real step change in my opinion is once these models get good at things like drug discovery, mathematical proofs, and building models of physics. We have essentially been locked into a paradigm almost 100 years old in physics, and haven't found many fundamental changes in mathematical or chemical theory since then either, to my knowledge.
In the past, every time we had a major breakthrough in one of these fields it was enough to reshape the world entirely. Chemistry led to the industrial revolution, Newtonian Mechanics led to the scientific revolution. (or was the beginning, whatever.)
As I mention above, I think the comparison to the agricultural revolution falls flat for a number of reasons. Admittedly most revolutions follow a pattern of short term negative issues with long term positive outcomes however.
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