Online Workshop 2 of 4 – Human-AI Boundary Framework for Asset Management Project (Condition, Performance and Risk)
AI is rapidly entering asset management — but where should it support decision-making, and where must humans remain responsible? This online workshop series invites AMCouncil members and asset management professionals to explore the Human–AI Boundary in asset management, sharing practical examples, concerns and insights across the asset lifecycle to help shape future AMCouncil guidance.
Online Workshop 2 of 4 – Human-AI Boundary Framework for Asset Management Project
Title: Condition, Performance and Risk
Purpose: Explore AI in asset health, condition assessment, predictive maintenance, risk modelling and reliability decisions.
Focus areas: Asset health, deterioration, predictive maintenance, risk models, criticality, reliability
Core Question: “When AI predicts condition, performance or failure, what must humans validate before action is taken?”
Participant Expectations: Attend one or more online workshops, respond to live polls, contribute questions or comments, complete a short post-session survey
Benefits to Participants: 1hr CPD point per online workshop, access to workshop notes, exposure to collective emerging AI-in-AM thinking, chance to shape AMCouncil guidance, opportunity to hear cross-sector examples
Click here to register
Register for other workshops in this series
This session is part of AMCouncil’s online workshop series exploring What Should AI Do in Asset Management — and What Must Humans Still Do?
Participants are welcome to attend one or more workshops. Each session will focus on a different asset management decision area and help shape AMCouncil’s Human–AI Boundary Framework for Asset Management.
- Workshop 1: Knowing the Asset – Thursday 25 June – Register here
- Workshop 2: Condition, Performance and Risk – Wednesday 1 July – Register here
- Workshop 3: Planning, Prioritisation and Investment – Wednesday 15 July – Register here
- Workshop 4: Work, Operations and Intervention – Thursday 30 July – Register here