The rapid growth of artificial intelligence (AI) has raised privacy concerns over user data.
Machine unlearning allows AI service providers to remove user data from trained models and training datasets to comply with privacy regulations like GDPR and CCPA.
To balance the cost of unlearning and privacy protection, a buyer-initiated auction mechanism for data redemption is proposed.
The mechanism enables service providers to purchase data from willing users with appropriate compensation, maximizing social welfare.