01 Purpose
Milestone 1 establishes the evidence base and operational context required to design an AI-enabled fatigue prevention system. The goal is to map current limitations, behavioural risks, industry needs, and the ethical and regulatory landscape.
02 Key components
Five streams of foundational work.
A
Foundational research and mapping
- Literature review across AI fatigue tools, behavioural science, physiological indicators, and wakefulness behaviours
- Review of unintended consequences, trust barriers, false alarms, and psychological reactance
- Alignment with NHVR guidelines and regulatory context
B
Industry and operational insights
- Consultation planning with fleet partners and drivers
- Identify operational contributors to fatigue such as scheduling, depot wait times, shift patterns, and workload
- Capture user pain points: data overload, alert fatigue, privacy concerns, and adoption barriers
C
Behavioural risk mapping
- Map behavioural responses to monitoring systems, including workarounds (camera blocking, posture adjustments)
- Identify behaviours that promote alertness to support AI prediction models
D
AI, data and systems scan
- Assessment of current AI fatigue technologies, data sources, integration challenges, and opportunities for smaller operators
- Identify edge vs cloud processing considerations
E
Ethics, privacy and governance review
- Early mapping of privacy risks, data handling requirements, consent principles, and human-centred ethical design
- Alignment with HVNL, NHVR privacy expectations, and emerging AI governance principles
Next
Shaping Milestone 2
This groundwork set the problem definition for the design and AI model development that followed.
03 Primary deliverable
A consolidated Milestone 1 Report.
Providing a comprehensive project foundation, and a clear problem definition that guides the prototype build in Milestone 2.
- Literature review insights
- Industry consultation findings
- Behavioural risk map
- Technology & AI landscape scan
- Operational fatigue contributors
- Initial ethics/privacy framework
04 Internal setup
- Governance structure setup and shared workspace creation
- Prepare December Industry Partner Session materials
- Coordinate Opposite–Murdoch workflows and data processes
- Establish consultation schedules and research templates
Milestone summary
Milestone 1 builds the foundation of evidence, risks, behavioural insights, industry input, and ethical considerations that will shape the design and AI model development in Milestone 2.