Join us for our 9 April 2024 Chapter meeting featuring:
Main Presentation: "Risk Management and Systems Engineering: The Shaping of New and Future Activities of the INCOSE Risk Management WG", by Jack Stein and Bob Parro
Abstract:
Systems engineers as individuals, and the field of systems engineering as a whole, are faced with an enormous challenge. Increasing system complexity, and ever more rapid and unpredictable developments and changes in technology, and in the socio-technical environments in which we will engineer and use the systems of the future, are creating levels of uncertainty, risk, and opportunity never before encountered.
In response, the practice of risk (and opportunity) management, in general and specifically as related to systems engineering, are undergoing significant change.
This presentation will inform attendees of recent changes in the practice of risk (and opportunity) management, and will provide an overview of INCOSE Risk Management Working Group (RMWG) current and future planned activities. The session will include an open Q&A segment, and is intended to be engaging two-way exchange of information, thoughts and ideas, aimed at directing, prioritizing, and improving the activities and work products of the INCOSE RMWG.
Bio:
The INCOSE Risk Management Working Group (WG) was established in 1998, making it one of INCOSE’s longest running working groups. Currently, the WG has just over 120 members world-wide. The size and scope of activities of the WG are expected to increase as fundamental changes in the concepts, principals and practices of risk management defined in the 1st (2009) edition of overarching international risk standard ISO 31000, Risk Management — Principles and guidelines, are implemented in an increasing number of organizations and systems engineering projects and programs. These changes are reflected in ISO/IEC/IEEE 16085:2021, Systems and software engineering — Life cycle processes — Risk management, and in the 5th Edition of the INCOSE Systems Engineering Handbook.
Bob Parro and Jack Stein share in the chair-person duties of the Risk Management WG, making sure the WG is represented at monthly TechOps meetings and Annual International Workshops (IWs). As WG co-chairs, Jack and Bob have co-authored the Risk Management sections of both the 4th and 5th editions of the INCOSE SE Handbook. Together with WG member and standards specialist Paul Heininger, they represented INCOSE and the WG in the ISO/IEC/IEEE 16085:2021 work.
Jack Stein resides in Michigan and is a Past President of the INCOSE Michigan Chapter. Bob Parro resides in the Chicago area and is a Past President of the Chicagoland Chapter. They are both strong advocates of WG-Chapter interaction.
Symposium on Artificial Intelligence – Machine Learning in Safety Critical Systems
INCOSE India, in collaboration with IEEE Systems Council Bangalore Chapter and Aeronautical Society of India, is organizing this virtual symposium to bring together experts from multiple sectors such as aerospace and automotive, to share their research findings and experiences on various challenges pertaining to adoption of AI-ML in safety critical systems.
Artificial Intelligence for Systems Engineering - AI4SE 2021
Machine Learning in Safety Critical Systems
Location: Virtual
Dates: 21-22 October 2020
Time: 16:00 - 20:00 Indian Standard Time (UTC +5:30)
Registration: https://www.aesievents.com/registration
INCOSE India, in collaboration with IEEE Systems Council Bangalore Chapter and Aeronautical Society of India, is organizing this virtual symposium to bring together experts from multiple sectors such as aerospace and automotive, to share their research findings and experiences on various challenges pertaining to adoption of AI-ML in safety critical systems.
There is an increasing demand for safety critical engineered systems to inculcate humanlike-intelligence and autonomy through adoption of Artificial Intelligence (AI) models, including data-driven decision making capabilities based on machine-learning (ML) algorithms and techniques. This demand is exponentially increasing the complexity in the design, verification, and validation of such safety critical intelligent systems that are subjected to regulations and certifications.
Engineering such systems requires an assurance on the behavior and performance of the system, and may require new approaches in arriving at the system design, in ensuring that the system is ready for operations, and in engineering safe and effective human interaction with intelligent systems. Challenges include new failure modes (e.g. negative side effects, unsafe exploration), unpredictability (e.g. performance on unseen data), trust and robustness (e.g. explainable decisions and behavior).
This symposium aims to bring together experts from multiple sectors such as aerospace, automotive, industrial automation and healthcare to share their research findings and experiences on various challenges pertaining to adoption of AI-ML in safety critical systems, including implications on regulations and certification.
See the Flyer for more details