Following is a threat model for AI systems based on IBM AI Risk Atlas Risk Description Threat Context Mitigating Controls Question to Application Owner Control Type Attribute inference attack Inferring sensitive attributes from seemingly anonymous data. Privacy loss and potential discrimination. Predicting ethnicity or income level from usage patterns. Limit model access, privacy-preserving learning, regular… Continue reading Cyber Risks in AI
Category: AI
Retrieval-Augmented Generation (RAG)
Retrieval-augmented generation (RAG) is a hybrid AI approach that combines retrieval-based methods with generative models to improve the quality and accuracy of generated content. This approach benefits tasks requiring factual accuracy and natural language generation, such as question-answering, summarization, or generating content based on specific knowledge. How RAG Works: RAG integrates two core components: Retrieval… Continue reading Retrieval-Augmented Generation (RAG)