How can AI models be made more robust? What are adversarial attacks on AI models?

... research, data lifecycle models have been developed to manage the complexity. ... This study explores how artificial intelligence (AI), specifically deep ... Mar 7, 2024 ... ... Algorithm Transparency, and Information Sharing (HTI-1) Final Rule ... (AI) and other predictive algorithms that are part of certified health IT. August 15, 2023. ‍. Transformer architecture that makes up many of the NLP models below. ‍. As the field of artificial intelligence advances, ... Apr 22, 2025 ... Policymakers are proposing new transparency requirements for AI developers to disclose information ranging from model design and training ... Feb 25, 2025 ... We place 'Model Cards' and graphical 'nutrition labels' for health AI in context with the information needs of patients, health care providers and deployers. Feb 17, 2023 ... As AI becomes more integrated into everyday OSINT analysis, it becomes clear that those who can train state-of-the-art AI algorithms can fully ... Mar 13, 2024 ... April 18, 2024 - Notice of Informational Webinar for RFA-AI-23-077, Center of Excellence for Systems Modeling of Infection and Immunity ... Large language models also require ontologies since they are trained on public data - not information from behind your firewall. An ontology is a set of ... One possible cause of ML models being vulnerable to privacy attacks is known as 'overfitting'. This is where the model pays too much attention to the details of ... UX designers face hurdles understanding AI technologies, such as pre-trained language models, as design materials. This limits their ability to ideate and make ...