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by LatteLazy
1203 days ago
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So far we have seen no power at all from ML. So spending large amounts of money making it "safe" (not that anyone knows how or even what it would look like) seems like an over reaction. With no power, comes no responsibility. But of course, if ML is a person's pet interest, they will likely think we should increase spending on it. That doesn't make that a smart decision... |
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I’d argue that power is in relation to reach and the capacity to influence. In this regard, ML has quite a bit of power these days, from deciding whether you are allowed to take a loan, to driving engagement in social media, to predicting and influencing what you will watch, to the way our language is even used.
There are also quite a few implicit ways that ML models have influenced society, eg GPGPUs with emphasis on ML, and ML accelerators everywhere. The effectiveness of certain algorithms made us use them more often which influenced NVDA and Google towards developing hardware to accelerate those common cases thereby creating a feedback loop where our algorithms are chosen based on works well on our GPUs (cf transformers).
As such systems become more prevalent and influential, ensuring safety and explainability will help us prevent pitfalls that put humans at risk.