With the breakneck speed at which artificial intelligence has been progressing, there have undoubtedly been some stumbles. One of the biggest issues has been the use of copyrighted materials to train AI models as well as images that may be inappropriate or raise privacy issues. But a technique referred to as “machine unlearning” developed by researchers at the University of Texas Austin may offer a solution to those concerns.
“When you train these models on such massive data sets, you’re bound to include some data that is undesirable. Previously, the only way to remove problematic content was to scrap everything, start anew, manually take out all that data and retrain the model.
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