This virtual course is being broadcast simultaneously from the FPS classroom/in-person version of this course.

This course starts with the NIST (National Institute of Standards and Technology) Risk Management Framework for Artificial Intelligence and its potential for installation in your organization.  


Agenda: 
The NIST (National Institute of Standards and Technology) AI Risk Management Framework. This session is an interactive, question and answer discussion about 5 NIST documents on AI.

• The Artificial Intelligence Risk Management Framework (AI RMF 1.0)
• Here is an abbreviated Table of Contents for this Framework:
  • Framing Risk
  • AI Risks and Trustworthiness 
  • Effective Use of the AI RMF
  • AI RMF Core 
  • AI RMF Profiles
• The four newer releases are being reviewed for public comment.  They are: 
  • Generative AI Profile
  • Secure Software Development Practices for Gen AI and Dual-Use Foundation Models
  • Reducing Risks Posed by Synthetic Content and 
  • A Plan for Global Engagement on AI Standards

A brief comparison and analysis of the NIST initiatives on a risk management approach to AI, the new EU Law, and the benefits of both.  

How Big Data and Analytics, the Precursor of AI, Transformed the Art and Practice of Management

• It’s All About the Data
• The Differences Between AI and Big Data (the AI Assistant)
• Statistics and Statistical Analysis
• Data Science, Data-Driven, Data Informed, Data Literacy
• Data Collection
• Analytic Tools
• Benefits
• Decision-Making
• Innovation Through Big Data
• Transitioning From Big Data to AI