The European Union’s “right to be forgotten” regulations have sparked debates on whether AI systems can forget what they have learned, and if so, how. As AI systems rapidly come under scrutiny of legal and policy frameworks, the concept of forgetting takes center stage. In the realm of machine learning, researchers are working on methods to make AI models selectively and retrospectively forget or approximate their training data, facilitating the clean implementation of agreements and regulations. However, the complexity of AI models and their ability to learn from vast amounts of information make it a daunting task. The true meaning of learning and forgetting in AI is still unclear, and scientists are grappling with the challenge of creating algorithms that can reverse the learning process.
AI’s Right to Forget
Researchers claim that if they can develop easier ways for AI to completely forget information, it would facilitate the clean implementation of these agreements and regulations.
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