Objective :
By the end of this workshop, participants will be able
to:
•
Define the fundamentals of AI and LLMs and
their relevance to WSH workflows.
•
Identify common pain points in traditional
HAZOP studies and WSH Risk Assessment (RA).
•
Understand the capabilities of the
contemporary LLMs for professional safety applications.
•
Navigate structured AI-assisted systems to
accelerate hazard identification and consistency in reports.
•
Apply AI systems into existing frameworks
to upkeep consistency and quality while maintaining regulatory compliance.
Synopsis :
This
half-day workshop, facilitated by the Society of Loss Prevention (SLP),
explores how Artificial Intelligence (AI) and Large Language Models (LLMs) can
increase value proposition in Hazard and Operability (HAZOP) studies and
Workplace Safety and Health (WSH) risk assessments (RA).
Designed
for managers, engineers, and safety professionals, this program addresses
industry challenges regarding assessment consistency, resource-intensive and
long cycle times. Participants will learn to apply structured AI systems to
accelerate hazard identification and risk controls, improve evaluation quality,
and ensure regulatory compliance. Through practical activities and real-world
simulations, participants will gain actionable insights to streamline
workflows, facilitate effective stakeholders’ engagement, and maintain
consistency in performing HAZOP studies and risk assessments.
About The Speaker
Teng Chong Seng
Senior
Professional Officer, Singapore Institute of Technology
President,
Society of Loss Prevention
Having 40 years
of extensive industry experience. Chong Seng has a distinguished career in
leading enterprise resilience, environmental sustainability, workplace safety
and health, process safety functions, and business continuity readiness across
the Asia Pacific Region. He has successfully been involved in the startups of
multimillion-dollar greenfield projects in semiconductor wafer fabrication and
pharmaceutical manufacturing.
Currently
assuming a role of Senior Professional Officer with Singapore Institute of
Technology (SIT) and his experience spans both the applied research and applied
learning.
Graduated in Master
of Science in Environmental Management from National University of Singapore,
BTech from University of Deakin University, Australia and BBA from Royal
Melbourne Institute of Technology, Australia
Who Should Attend
•
Operations,
Maintenance, and Technical Professionals, Engineers, Supervisors
•
Process
Safety, SHE, and Risk Engineers
•
Safety
Case Coordinators and MHI Representatives
•
Project
Management Leads and Specialists
•
Managers
and Engineers involved in plant design, artificial intelligence, or performance
improvement
SDU Points/FSM-CPD Points/PDU Points
- SDU points- pending approval
- FSM-CPD points- pending approval
- PDU points- pending approval
Closing Date
16 September 2026
Programme Timetable
|
Time
|
Programme
|
|
1230
|
Registration & networking
|
|
1300
|
· Introduction and The AI Landscape
Intro
to AI/LLMs; overview of top 10 LLMs and its
Application
|
|
1330
|
· Challenges in doing HAZOP and RA
Identifying pain points: Inconsistency, long cycle
times, and resource demands.
|
|
1415
|
Tea Break & Networking
|
|
1430
|
·
AI in HAZOP Study
Hand-on Practice &
simulation:
Using AI for HAZOP
Study. Manual HAZOP and AI-HAZOP studies
|
|
1530
|
· AI in Risk Assessment
Hand-on Practice &
simulation:
Structured AI for WSH
(RA)
Manual RA and AI-RA
|
|
1615
|
· Implementation – AI Assisted RA & HAZOP
Overcoming concerns, workflow integration
|
|
1645
|
Q & A
Closing Remarks
Final thoughts and feedback
|
|
1700
|
End of Program
|
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