ASRC AI Ethics Technical Training Course

Like other transformative technologies, artificial intelligence and machine learning (AI/ML) create both significant opportunity and meaningful risk. Recent advances in generative AI and emerging agentic systems have expanded what is technically possible—while also raising new governance, safety, and reliability challenges. To operate effectively in this rapidly evolving landscape, mission-driven practitioners need a grounded understanding of modern AI techniques—from supervised learning to large language models (LLMs)—along with the ability to evaluate real-world capabilities, manage risks, and implement systems responsibly.

This training will align with the NIST AI Risk Management Framework (AI RMF), emerging federal guidance on generative AI, and established model risk management practices. Content is designed to be practical and system-agnostic, with applications across supervised, unsupervised, and generative AI systems. Special consideration is given to software engineers seeking deeper exposure to machine learning concepts and evaluation methodologies.