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Machine unlearning enables AI models to “forget” specific data without retraining from scratch, aiding in data privacy and intellectual property protection. Current methods include exact unlearning, which retrains models from modified datasets, and approximate unlearning, which minimizes data influence. Tools like SCRUB aim to improve these processes, addressing ethical concerns and ensuring compliance with privacy laws.
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