Agenda
DAY 1
08:00 - 08:50
REGISTRATION
08:55 – 09:00
CHAIRPERSON’S OPENING REMARKS
09:00 - 09:30
AI-Powered Predictive Safety: From Incident Response to Risk Prevention
- Using AI to identify leading indicators and emerging risks before incidents occur
- Applying machine learning to incident, near-miss and operational data
- Moving from static risk assessments toward dynamic, continuously updated risk models
- Combining AI with human expertise rather than replacing professional safety judgement
- Managing AI bias, explainability, data quality and accountability in safety-critical decisions
09:30 - 10:00
The Rise of the Digital Risk Twin
- Creating digital representations of workplace hazards, controls and changing operational conditions
- Combining sensor, environmental, workforce and operational data to model risk in real time
- Simulating process or layout changes before implementing them in the physical workplace
- Integrating digital twins with HAZOP, risk assessment and process-safety management
- Validating whether digital risk models actually deliver measurable safety improvements
10:00 - 10:30
AI-Powered Wearables & Intelligent PPE
- Using wearables to monitor ergonomics, fatigue, environmental exposure and proximity risks
- Moving from simple alerts toward AI-driven predictive interventions
- Integrating smart PPE with connected machinery, access control and site systems
- Using real-time data to prevent musculoskeletal injuries and human–vehicle collisions
- Addressing privacy, worker trust and surveillance concerns when collecting personal safety data
10:35 - 11:25
COFFEE BREAK
11:30 - 12:00
Computer Vision for Real-Time Safety
- Detecting unsafe conditions, PPE non-compliance and hazardous behaviours automatically
- Using edge AI to deliver real-time alerts at the point of risk
- Combining cameras with access control, machinery and site-management systems
- Turning visual safety data into leading indicators and corrective actions
- Balancing continuous monitoring with privacy, transparency and worker acceptance
12:00 - 12:30
Managing the Safety Risks of AI & Automation
- Identifying new hazards created by AI-enabled machinery, robotics and autonomous systems
- Managing automation bias, over-reliance on algorithms and loss of human oversight
- Assessing risks when humans and autonomous equipment share the same workspace
- Establishing governance for validation, monitoring and human intervention
- Building AI safety into design and engineering processes from the outset
12:30 - 13:00
Next-Generation Ergonomics: Exoskeletons, Robotics & Human Augmentation
- Evaluating adaptive exoskeletons for manual handling, overhead work and repetitive tasks
- Combining robotics and human-assistance technologies to reduce physical strain
- Using biomechanical sensing to personalise ergonomic interventions
- Measuring long-term effects on musculoskeletal health, productivity and worker acceptance
- Ensuring technology addresses the underlying task design rather than simply shifting risk
Planned Investment Areas
- Plant safety risk assessment
- OH&S risk management systems|OH&S risk management systems
- Legislative compliance and Due Diligence Programs
- Connected Worker
- Process Automation
- Accident/Incident Investigation
- Electrical Safety
- Training & Development|Training & Development
- Compliance Assessments & Implementation|Compliance Assessments & Implementation
- CCTV/Video Solutions for OH&S|CCTV/Video Solutions for OH&S
- Industrial Worker Safety
- Workforce Enablement
- Risk auditing
- In-line Vision Inspection Systems
- PPE & Fall Protection|PPE & Fall Protection
- Change Management
- Digital Tools for Safety
- Industrial hygiene
- Worker health complaints investigation
- Risk Management Information Systems
- Chemical management
- HVAC
- Process safety management
- Virtual reality for workplace health
- Augmented reality in safety
- AI support for future EHS Management
13:05 - 13:55
LUNCH
14:00 - 14:30
Fatigue Risk Management in the Data-Driven Workplace
- Using wearable and operational data to identify fatigue-related risk patterns
- Moving beyond hours worked toward a broader understanding of fatigue exposure
- Integrating fatigue indicators into staffing, scheduling and task allocation
- Designing interventions around rest, workload, shift patterns and job design
- Ensuring fatigue-monitoring programmes support workers rather than becoming surveillance tools
14:30 – 15:00
Heat Stress & Climate-Driven Occupational Health
- Preparing workers for increasing heat exposure and extreme weather conditions
- Combining environmental sensors with worker-level exposure monitoring
- Developing predictive heat-risk systems for outdoor and industrial environments
- Redesigning work schedules, PPE and processes around changing climate conditions
- Integrating climate resilience into occupational health and emergency planning
15:00 – 15:30
The New Industrial Hygiene: Real-Time Exposure Monitoring
- Moving from periodic sampling toward continuous exposure monitoring
- Using connected sensors for dust, gases, noise, vibration and other workplace exposures
- Applying analytics to identify exposure hotspots and cumulative risk
- Integrating monitoring data with worker health and process information
- Turning exposure data into faster engineering and operational controls
15:35 - 16:25
COFFEE BREAK
16:30 - 17:00
Psychosocial Safety in the AI-Enabled Workplace
- Understanding how AI affects workload, autonomy, job control and workplace stress
- Managing the psychological impact of algorithmic management and workplace surveillance
- Designing AI-enabled work around human wellbeing and meaningful autonomy
- Identifying new risks from rapid job and skill transformation
- Making psychosocial risk management an integral part of occupational safety strategy
17:00 – 17:30
Immersive Safety Training: VR, AR & Extended Reality
- Moving from classroom training toward immersive, scenario-based learning
- Simulating high-risk and non-routine situations without exposing workers to physical hazards
- Using VR/AR to improve hazard recognition and decision-making
- Measuring competence through performance and behavioural outcomes, not completion rates
- Connecting immersive training with competency management and authorisation systems
17:30 - 18:00
Predictive Maintenance as a Safety Control
- Using AI and sensor data to identify equipment degradation before failure
- Linking maintenance data directly with safety and operational risk
- Predicting failures in critical machinery, lifting equipment and safety systems
- Prioritising maintenance based on risk and consequence, not simply schedules
- Connecting predictive maintenance with digital twins and process-safety systems
Planned Investment Areas
- Plant safety risk assessment
- OH&S risk management systems|OH&S risk management systems
- Legislative compliance and Due Diligence Programs
- Connected Worker
- Process Automation
- Accident/Incident Investigation
- Electrical Safety
- Training & Development|Training & Development
- Compliance Assessments & Implementation|Compliance Assessments & Implementation
- CCTV/Video Solutions for OH&S|CCTV/Video Solutions for OH&S
- Industrial Worker Safety
- Workforce Enablement
- Risk auditing
- In-line Vision Inspection Systems
- PPE & Fall Protection|PPE & Fall Protection
- Change Management
- Digital Tools for Safety
- Industrial hygiene
- Worker health complaints investigation
- Risk Management Information Systems
- Chemical management
- HVAC
- Process safety management
- Virtual reality for workplace health
- Augmented reality in safety
- AI support for future EHS Management
18:00 - 19:00
DRINKS RECEPTION
DAY 2
08:55 – 09:00
CHAIRPERSON’S OPENING REMARKS
09:00 – 09:30
Human–Robot Collaboration: Designing Safe Industry 5.0
- Managing safety where workers interact directly with cobots, autonomous vehicles and robotic systems
- Developing dynamic safeguarding that responds to human presence and behaviour
- Designing automation around human capability, ergonomics and decision-making
- Using sensors and AI to continuously assess human–machine interaction
- Balancing productivity gains with worker control, trust and safety
09:30 – 10:00
From Lagging Indicators to Real-Time Safety Intelligence
- Moving beyond injury rates toward leading indicators that predict exposure and risk
- Combining incident, near-miss, environmental and operational data
- Using analytics to identify recurring risk patterns across sites and teams
- Creating dashboards that translate complex data into actionable interventions
- Measuring whether safety insights result in stronger controls and fewer exposures
10:00 - 10:30
Building the Resilient Safety Organisation of 2027
- Preparing safety systems for automation, climate change, new technologies and workforce changes
- Strengthening organisational learning from incidents, near misses and weak signals
- Integrating safety, health, engineering, operations and digital teams
- Developing workforce skills for AI-enabled safety management
- Creating a culture where technology strengthens — rather than replaces — human judgement, worker participation and professional accountability
10:35 - 11:25
COFFEE BREAK
11:30 – 12:00
Next-Generation Process Safety: AI, Automation & Dynamic Risk
- Applying AI to identify weak signals and process deviations before major incidents occur
- Moving from periodic process-safety reviews toward continuous risk monitoring
- Integrating operational technology, sensor and process data into dynamic risk models
- Managing emerging hazards from electrification, hydrogen, batteries and new energy systems
- Combining automation with human oversight and robust safety barriers
12:00 – 12:30
Battery, Energy Storage & Electrification Safety
- Managing emerging risks from lithium-ion batteries and next-generation battery chemistries
- Preventing and responding to thermal runaway, fire and hazardous emissions
- Developing safer battery manufacturing, storage, transport and charging environments
- Addressing occupational exposure risks associated with new energy technologies
- Building emergency-response strategies for increasingly electrified industrial facilities
12:30 – 13:00
Connected Worker: Turning Real-Time Data into Safer Decisions
- Connecting workers, equipment and environments through IoT-enabled safety platforms
- Providing workers with real-time information on hazards, proximity risks and changing conditions
- Combining wearable, location and environmental data to create a 360° view of worker exposure
- Delivering personalised safety alerts without creating information overload
- Establishing governance around worker data, privacy and responsible monitoring
Planned Investment Areas
- Plant safety risk assessment
- OH&S risk management systems|OH&S risk management systems
- Legislative compliance and Due Diligence Programs
- Connected Worker
- Process Automation
- Accident/Incident Investigation
- Electrical Safety
- Training & Development|Training & Development
- Compliance Assessments & Implementation|Compliance Assessments & Implementation
- CCTV/Video Solutions for OH&S|CCTV/Video Solutions for OH&S
- Industrial Worker Safety
- Workforce Enablement
- Risk auditing
- In-line Vision Inspection Systems
- PPE & Fall Protection|PPE & Fall Protection
- Change Management
- Digital Tools for Safety
- Industrial hygiene
- Worker health complaints investigation
- Risk Management Information Systems
- Chemical management
- HVAC
- Process safety management
- Virtual reality for workplace health
- Augmented reality in safety
- AI support for future EHS Management
13:05 - 13:55
LUNCH
14:00 – 14:30
Safety 4.0: The Autonomous Industrial Workplace
- Preparing safety strategies for autonomous vehicles, robots and increasingly automated facilities
- Redefining roles and responsibilities as human intervention becomes less frequent
- Developing safety systems that can adapt automatically to changing operating conditions
- Managing interactions between autonomous equipment, contractors and human workers
- Establishing new competencies, standards and assurance models for autonomous operations
14:30 - 15:00
Occupational Health 2.0: From Reactive Care to Predictive Prevention
- Using health and exposure data to identify early indicators of occupational illness
- Moving beyond compliance toward proactive management of long-term worker health
- Integrating occupational hygiene, ergonomics, wellbeing and workplace exposure data
- Using analytics to identify high-risk tasks, populations and working conditions
- Building prevention strategies around individual needs while protecting worker privacy
15:00 - 15:05
CHAIRPERSON’S CLOSE
Please note the agenda can be subject to change