ASRC Feb 2025

In coordination with ASRC Federal, Hall Research launches a new AI Ethics Technical Training Course.

Patrick Hall

Principal Scientist, Hall Research & Teaching Faculty, GWU

ASRC AI Ethics Technical Training Course

The New York Times

The National Academies of Sciences, Engineering, and Medicine

National Institute of Standards and Technology

O'Reilly Media

S&P Global

Like all powerful technologies that have come before, artificial intelligence and machine learning (AI/ML) present great opportunities and serious risks. The recent generative AI (GAI) hype cycle has only increased the stakes of the AI/ML risk-reward tradeoff. To succeed in today's exciting and noisy AI/ML landscape, mission-driven practitioners need a broad understanding of AI/ML techniques—from supervised learning to GAI chatbots, the ability to separate current capabilities from ever-present hype, and an awareness of AI governance and risk management practices.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; This AI Ethics Technical Training will align with the NIST AI Risk Management Framework (AI RMF) and best practices in model risk management. Content will be presented in a manner that can be applied to various types of supervised, unsupervised, reinforcement learning, and generative AI systems. Special consideration will be given to software engineers who need more exposure to AI/ML topics.

Stay at the forefront of AI/ML research, implementation, and risk management

• Contemporary AI Risk Management• Explainable AI

• Debugging AI Systems for Safety and Performance• Managing Bias in AI Systems

• AI Security• Risk Management for Generative AI• Retrieval Augmented Generation

Three-Day Course

What you’ll get out of this course

A thought-provoking course for software engineers, data scientists, and machine learning engineers about today's cutting-edge AI/ML approaches and how to use them safely and responsibly.

Best Practices 

Cohort-based courses emphasize active learning through community engagement, providing professionals with practical skills and networking opportunities and fostering interactive, community-driven learning experiences.

Cohort-based Course

Certificate of Completion upon successfully completing course proficiency assessment.

Certificate of Completion 

Session 1

Provide a brief description for each module as a way to sell the value of what students will be learning throughout the course.

Session 2

Session 3

Course Syllabus

What people are saying

Meet your instructor

Day 1: Feb 19, 2025

Day 2: Feb 24, 2025

Day 3: Feb 26, 2025

Course Schedule

This course builds on live workshops and hands-on projects

Active hands-on learning

You’ll be interacting with other learners through breakout rooms and project teams

Interactive and project-based

Join a community of like-minded people who want to learn and grow alongside you

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About this course

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