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Published on: March 10, 2011
Prospectively identifying risks and controls for advanced brain-computer interfaces: A Networked Hazard Analysis and
Brandon J King1, Gemma J M Read2, Paul M Salmon3
1Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, ML 47, Locked Bag 4, Maroochydore DC, Queensland, 4558, Australia; Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, Australia.
Advanced digital technologies like brain-computer interfaces (BCIs) introduce risks. This study identified over 800 potential risks and 600 controls across the BCI lifecycle to ensure system resilience.
Area of Science:
- Neuroscience
- Systems Engineering
- Risk Management
Background:
- Advanced digital technologies increase system complexity and risks, necessitating proactive management for resilience.
- Brain-computer interfaces (BCIs) are emerging technologies with societal implications, but their risks are not yet fully understood or controlled.
Purpose of the Study:
- To prospectively identify risks and risk controls for a hypothetical future BCI system lifecycle using a structured, systems thinking-based risk assessment method.
- To analyze potential risks throughout the entire BCI system lifecycle, from development to decommissioning.
Main Methods:
- Applied the Networked Hazard Analysis and Risk Management System (Net-HARMS) method.
- Conducted a structured, systems thinking-based risk assessment.
Main Results:
- Identified over 800 risks across the BCI system lifecycle (development, regulation, use, maintenance, decommissioning).
- Highlighted high-criticality risks: unsafe BCI implantation/degradation, unsolicited brain stimulation, incorrect signals to critical systems, and inadequate user support.
- Identified over 600 potential risk controls to enhance safety and performance resilience.
Conclusions:
- Significant safety and performance risks exist throughout the BCI lifecycle.
- Collaborative efforts among diverse BCI stakeholders are crucial for effective risk control.
- Further development of systematic controls is needed to design resilient sociotechnical BCI systems.
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