Privacy and security
Participants expressed worry about AI systems' possible misuse of personal information. They emphasized the importance of strong data security safeguards and increased openness in how AI systems acquire, store and use data. The increasing dependence on AI systems to manage sensitive personal information raises ethical questions about AI, data privacy and security. As AI technologies grow increasingly integrated into numerous areas of society, there is a greater danger of personal data exploitation or mistreatment. Participants in research frequently express concerns about the effectiveness of data protection safeguards and the transparency of AI systems in gathering, keeping and exploiting data (Table 1).
ENTITY
2 - AI
INTENT
3 - Other
TIMING
2 - Post-deployment
Risk ID
mit587
Domain lineage
2. Privacy & Security
2.1 > Compromise of privacy by leaking or correctly inferring sensitive information
Mitigation strategy
1. Prioritize Data Minimization and Anonymization Implement a strict data minimization strategy, ensuring only the necessary data is collected and processed for the specific AI application. When sensitive information is required, utilize robust privacy-enhancing techniques such as data anonymization, pseudonymization, and differential privacy to prevent the direct or inferential compromise of personal data. 2. Implement Robust, Layered Data Security Controls Apply comprehensive security controls including encryption (both at rest and in transit), Role-Based Access Controls (RBAC) to enforce the principle of least privilege, and continuous real-time anomaly detection to monitor AI environments and data pipelines for unauthorized access, misuse, or exfiltration incidents. 3. Establish Proactive Transparency and Governance Frameworks Develop and publish a formal AI transparency policy that explicitly details the types of data collected, the models' decision-making processes (via Explainable AI/XAI techniques), and the ethical safeguards in place. Conduct continuous audits and maintain clear accountability mechanisms to ensure adherence to data privacy regulations and ethical AI usage guidelines.