A seminar exploring evaluation frameworks and governance approaches for agentic AI systems, bringing together researchers and practitioners from across the field.

Five CMU faculty members named 2026 Sloan Research Fellows, including AIMSEC-affiliated Professor Aditi Raghunathan.

An inside look at how CMU's Machine Learning Department translates cutting-edge research into real-world applications.

This AIMSEC webinar focuses on emerging approaches to evaluating AI systems in healthcare settings, covering clinical validation, safety benchmarks, and regulatory considerations.

AIMSEC Research Director Ramayya Krishnan discusses how to effectively operationalize AI with the right people, processes, and trust frameworks.

This AIMSEC webinar examines the specific challenges and opportunities in applying rigorous AI evaluation methods within the financial services sector.

AIMSEC researchers and partners discuss foundational principles and open questions in building a rigorous, reproducible science of AI system evaluation.

Professor Aditi Raghunathan joins the TWIML AI Podcast to discuss whether current LLM pre-training paradigms need rethinking.

AIMSEC faculty Rema Padman's research on using machine and deep learning to predict chronic kidney disease progression.

Recording of the Gyan.AI workshop session hosted in partnership with AIMSEC. Access requires a password — please contact us if you need access details.

Washington Business Journal spotlights CMU's role in shaping the future of energy through AI and data-driven research.

CMU researchers explore how AI-powered tools can be deployed to detect and counter evolving cybersecurity threats.

CMU researchers find that open source AI models could significantly reduce the energy footprint of AI deployment at scale.

A new book co-authored by Holly Wiberg explores how analytics and data science can transform healthcare delivery.

Professor Zico Kolter joins the Elevate Podcast to discuss machine learning leadership, AI safety, and his role on the OpenAI board.

CMU researchers develop AI tools that help transplant centers create clearer, more accessible patient education materials.

NIST awards CMU $6 million to establish AIMSEC, a cooperative research center focused on AI measurement science and engineering.

AIMSEC faculty contribute to NIST's new guidelines on red teaming practices for generative AI systems.

AIMSEC Research Director Ramayya Krishnan explores what a truly trusted AI ecosystem could look like and what it would take to build one.

Carnegie Mellon and NIST partner to address the growing need for rigorous AI risk management frameworks and evaluation tools.