Revolutionizing Data Sharing with Privacy-Enhancing Technologies

The chapter explores the potential of privacy-enhancing technologies like federated learning and homomorphic encryption in revolutionizing data sharing across different sectors. It discusses the evolving AI security landscape, emphasizing secure data sharing through multi-party computation for improved analytics and supply chains. The conversation also touches on challenges, regulations, and the importance of balancing innovation with data security.