A Conceptual Framework for the SE of AI-Intensive Systems (SE4AI) – Considering Data Through the Life Cycle
Jawahar Bhalla (JB)
Wednesday, 11 October 2023
04:45 PM - 6:00 PM Mountain Time
: Online via ZOOM
: Zoom link is provided in the meeting invitation; contact the POC to request the meeting invitation
This presentation will consider the challenge of the Systems Engineering of AI-Intensive Systems (SE4AI) with a particular focus on their high reliance on data for model design verification, model training and model validation. The presentation will examine contemporary AI/ML development approaches, identifying these to be largely software based “bottom-up” driven by technological advancements, and perceived to lack a holistic top-down “end-to-end” systems-based perspective. Concepts and principles from systems thinking, modelling & simulation, and situation awareness are then briefly described as exaptive enabling building blocks, for integration into best-practice evolutionary SE life-cycle processes. A proposed tailored evolutionary SE life-cycle process, with a focus on model design verification, model training and model validation data is then described across key-phases in an evolutionary life-cycle context in terms of phase objectives, a proposed refinement to phase activities to cater for ML systems and proposed phase outcomes. Related initiatives of direct relevance to Ai-Intensive systems are also identified, followed by a summary and conclusion.
Jawahar Bhalla (JB) is a passionate Systems professional with 30+ years’ experience established across multi-national organisations in technical and strategic leadership roles delivering complex capabilities across sectors. He is the president of INCOSE's Australian chapter, the Systems Engineering Society of Australia (SESA), and contributes to the advancement of Systems Thinking, Systems Engineering and Modelling & Simulation locally, regionally, and globally. He has a BE (Aero-space Engineering), a BSc (Computer Science), a Master’s in Systems Engineering and is a current PhD candidate working on a SE Framework for the Engineering and Assurance of AI-Intensive systems. He has also served on the Board of Simulation Australasia and was recognised in 2021 as the recipient of the “Ray Page Lifetime Achievement Award” for an outstanding contribution to the advancement of Modelling and Simulation in the Australasian region