New research shows models can be directly edited to hide selected voices, even when users specifically ask for them.

Machine Unlearning 现在存在哪些局限？ 01 为什么需要关注 Unlearning？ 1、在过去的十年中，数据量的大幅增加和硬件性能的快速提升推动了机器学习技术 ...

Unlearning is not simply the opposite of learning or forgetting. It is a conscious process of discarding old knowledge and behaviors that are no longer relevant or effective in doing your work.

Neel, Seth, Aaron Leon Roth, and Saeed Sharifi-Malvajerdi. "Descent-to-Delete: Gradient-Based Methods for Machine Unlearning." Paper presented at the 32nd Algorithmic Learning Theory Conference, March ...

Google Announces Machine Unlearning Challenge Which Will Help In Getting Generative AI To Forget What Decidedly Needs To Be Forgotten, Vital Says AI Ethics And AI Law ...

Unlearning means discarding something that's already been learnt. It may be a bad habit, a false piece of information, an outdated belief, or even a toxic mentality.

Why Unlearning Is Key In both examples above, due to the act of unlearning, people are able to increase efficiency and improvise productivity, resulting in an increased bottom line.