Artificial Intelligence Standards and
Risk Management Frameworks (RMF)

INTRODUCTION

This GLOMACS Artificial Intelligence Standards and Risk Management Frameworks (RMF) training course presents a synthesis of the most relevant Artificial Intelligence Standards and the NIST AI Risk Management Framework (RMF). Artificial Intelligence, including Generative AI (GAI), has permeated just about every aspect of society and it is important to consider AI standards and AI Frameworks while building and deploying AI systems.

AI achieves excellent results without costing excess effort or money. Although businesses are currently busy on how to manage operations efficiently and to deliver them in the most optimized fashion, they need to be aware of the AI risks together with appropriate AI standards and lifecycle based AI frameworks.

In this training course, the most appropriate AI standards and frameworks are presented in the context of  of artificial intelligence risks and the AI lifecycle. Participants will get a detailed overview of the most critical ISO/IEC AI standards and a thorough discussion of the NIST AI RMF.

 The delegates attending this training course will learn the details of the NIST AI RMF including the RMF core and profiles, the various suggested actions to manage GAI risks in the core categories of govern, map, measure, and manage, and the suggested actions to manage GAI risks. The various standards and the NIST AI RMF are intended to address a multitude of AI risks and trustworthiness issues.

This training course will highlight:

• The most critical ISO/IEC AI standards
• Assessment of AI and GAI risks
• Structure of the NIST AI RMF
• Actions to manage GAI risks
• Active participation in discussions on aspects of ISO/IEC standards and the NIST AI RMF

Objectives

At the end of this training course, you will learn to:

• List and discuss the most critical ISO/IEC AI standards
• List and discuss the various AI risks including trustworthiness issues
• List and describe the NIST AI RMF core components and profiles
• List and describe the risks unique or exacerbated by GAI
• List and explain the various suggested actions to manage GAI risks

Training Methodology

This training course will utilize various proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes many examples to clarify the various standards and the NIST AI RMF and a set of breakout exercises to enable delegates active participation in discussions and sharing ideas and experiences towards the completions of the exercises.

Organisational Impact

The organizations will create the right high-stakes decisions and invest in promoting awareness on the various AI standards and the outcomes of the NIST AI RMF; for business unit or division leaders who want to drive results through the adoption of AI standards and the NIST AI RMF; and for rising leaders who want to understand the AI and GAI risks and adopt the NIST AI framework for mitigating the risks.

The Organization will have the following benefits;

• Identifying a path for the organization to gain capability and experience with ISO/IEC AI standards and the NIST AI RMF
• Accepting that standards, and lifecycle-based risk assessment is the basis for addressing AI issues
• Implementing and adopting ISO/IEC AI standards and the NIST AI RMF
• Implementing and improving suggested actions to manage GAI risks
• Leaders which create organizational culture and structure for adopting AI standards and the NIST AI RMF.

Personal Impact

Delegates will therefore acquire a working knowledge of AI standards and the NIST AI RMF and its implementation within enterprises, which can significantly improve their opportunities in career growth and improvement of their working activities and day-to-day work.

At the end of this training course, the participants will gain the following.

• Identifying a path for any leader who wants to gain capability and confidence with AI standards and the NIST AI RMF
• Understanding the value of mitigating AI and GAI risks
• Identifying actions to manage GAI risks
• Enhancing their capabilities to lead teams
• Improving their knowledge in AI and GAI risk assessment, mitigating AI risks, and underlying governance aspects.

WHO SHOULD ATTEND?

The training course is tailored for a diverse range of AI professionals who desire to learn about AI standards and AI frameworks such as the NIST AI RMF and to be a driving force for its implementation in their organizations..

This GLOMACS Artificial Intelligence Standards and Risk Management Frameworks (RMF) training course is suitable to a wide range of professionals but will greatly benefit:

• Inspired leaders or the ones trying to become inspired leaders,
• Business Leaders and Managers
• Project Managers and Technical Leaders
• Data Scientists and analysts
• Researchers and Academics
• Entrepreneurs and Startup-Founders
• Government professionals with AI responsibilities
• Venture Capitalists and Investors
• Compliance professionals and officers