SYSTEMS ENGINEERING NEWS

author of Don’t Panic! The Absolute Beginners Guide to Service Systems and Services

Various working groups report their progress, including:

• Automotive WG: The sub-group on the Application of SE, Safety and Cyber Security is focused on work around their IS2023 paper, “Taming the Automotive Complexity Explosion”. Also explored the Automotive Reference Architecture Model (ARAM) and the Risk Analysis & Assessment Modeling Language (RAAML).

• Healthcare WG: Hosting the 8th Annual Systems Engineering in Healthcare Conference in April.

• Human Systems Integration (HSI) WG: Reported on the highlights of the HSI Worldwide Workshop 2022.

• Requirements WG: Posted pre-IW2023 sessions on the RWG YouTube channel Reported on ten takeaways from their collaboration with the Systems Security Engineering (SSE) WG.

• MBSE Patterns WG: Reports that the INCOSE Innovation Ecosystem Pattern was adopted as the reference model for the American Institute for Aeronautics and Astronautics (AIAA) Digital Twin Reference Model and Case Studies publication.

• Quality Management Working Group (SEQM): Partnered with the Quality Management Institute to offer QMI’s extensive educational course and QM certification to members of the working group with a full scholarship.

• INCOSE IT: Reports that the Yammer collaboration platform will become Viva Engage in 2023.

For details on these items and more topics of interest, download the full INCOSE Q1 2023 Member Newsletter.

The U.S. National Institute for Standards and Technology (NIST) has announced the launch of the NIST Trustworthy and Responsible AI Resource Center (AIRC) that will provide foundational content, technical documents, and toolkits to enable responsible use of Artificial Intelligence (AI). The AIRC offers industry, government, and academic stakeholders knowledge of AI standards, measurement methods and metrics, datasets, and other resources.

Resources currently available on the AIRC include:

• AI Risk Management Framework (RMF): Voluntary guidance to improve the ability to incorporate trustworthiness considerations into the design, development, use and evaluation of AI products, services and systems.

• AI RMF Playbook: Companion resource for the AI RMF that includes suggested actions, references, and documentation guidance to achieve outcomes for the four AI RMF functions.

• AI Glossary: Promotes a shared understanding and improved communication in trustworthy and responsible AI.

• AI RMF Roadmap: Identifies key activities for advancing the AI RMF that could be carried out by NIST in collaboration with private and public sector organizations – or by those organizations independently.