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> AI are essentially black boxes that unconsciously learn the biases of the datasets they are given. Please don't confuse "AI" with the current state-of-the-a
by manux 8y ago
> AI are essentially black boxes that unconsciously learn the biases of the datasets they are given.
Please don't confuse "AI" with the current state-of-the-art of the latest deep learning model. Many of us researchers are working on interpretability and understanding of causality.
Calling it "AI" makes it appear final, as if in 50 years all machine learning-based decision systems will behave exactly as they do now, without nuance.
- bobthepanda 8y agoCalling currently existing models AI is no different than calling a Model T a car. It being more primitive than what may exist in the future is of little consequence to the public dealing with the consequences of AI today. AI can only learn from the data it has, so it will always carry some sort of bias, because it is impossible to collect the nuance of every last bit of context into a digestible data format. At best it's an advisor, but it should never be a decision-maker.
- AstralStorm 8y agoVery different in fact. Model T had most big level components of a modern car in place. Rubbered wheel. Protection from elements. Combustion engine. Transmission. In comparison, current automated decision making systems are at the stage where we do not even know what the components are. And calling them intelligent is insulting.
- c22 8y agoExisting "AI" is more like a couple of wheels and a handful of engine parts. I think it's fair to call it something more accurate so as not to mislead the public about where today's consequences come from.