During the peak of remote work in 2020, an incident involving the unauthorized sharing of sensitive photos, captured by iRobot vacuums, highlighted significant concerns about data protection in AI model training. The breach underscored the importance of selecting secure and compliant data labeling partners who adhere to stringent security and ethical standards. To ensure data security, AI developers should engage with partners meeting industry compliance standards such as ISO 27001, SOC 2, HIPAA, and GDPR, and employ practices like role-based access controls, encryption, and regular security audits. Moreover, ethical treatment of data labelers, including fair wages and exposure to sensitive content policies, is crucial. Labelbox, a company specializing in secure labeling services, emphasizes the importance of integrating security into all aspects of data handling and regularly reviews its partners’ security measures to prevent breaches and safeguard sensitive information.