Consent Management

Consent management in data-driven systems aims to ensure ethical data usage by obtaining and respecting user preferences. Current research focuses on developing robust speaker recognition systems, often employing contrastive learning methods, to dynamically manage consent in voice-activated applications and address challenges like efficient speaker registration and removal. A key concern is the potential for circumventing consent through the use of synthetic data, highlighting the need for careful consideration of ethical implications and regulatory frameworks in the development and deployment of data-driven technologies. This research area is crucial for building trustworthy AI systems that prioritize user privacy and autonomy.