Malicious use and abuse (mass surveillance)
Generative AI facilitates the automation of data analysis, offering numerous benefits, such as increased speed and the ability to process large volumes of information efficiently. Such ability significantly reduces the costs of processing unprecedented amounts of data quickly and simplifies the analysis of large-scale data related to individuals’ behaviors and beliefs. Moreover, it enhances the capability to analyze both textual and visual communications efficiently. Consequently, generative AI models improve the efficiency of real-time monitoring and censorship of social media content.
ENTITY
1 - Human
INTENT
1 - Intentional
TIMING
2 - Post-deployment
Risk ID
mit733
Domain lineage
4. Malicious Actors & Misuse
4.1 > Disinformation, surveillance, and influence at scale
Mitigation strategy
1. Institute a comprehensive AI Governance Framework that explicitly prohibits the development or deployment of generative AI systems for unlawful or improper large-scale monitoring, surveillance, or tracking of individuals, while establishing clear protocols for data minimization, accountability, and public transparency in all AI-driven data analysis use cases. 2. Apply mandatory data protection mechanisms, including the classification, anonymization, and robust encryption of all data at rest and in transit, in conjunction with Zero-Trust access controls to ensure the principle of least privilege is rigorously enforced for all personnel and AI agents accessing sensitive data sets. 3. Establish real-time, continuous monitoring and rigorous auditing of generative AI model behavior, input prompts, and outputs, leveraging Explainable AI (XAI) and anomaly detection to immediately identify and mitigate any unauthorized usage, data extraction attempts, or system deviations that could facilitate covert mass surveillance.