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Identifying risk controls for future advanced brain-computer interfaces: A prospective risk assessment approach using

Brandon J King¹, Gemma J M Read², Paul M Salmon³

¹Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, Australia.

Applied Ergonomics

|May 6, 2023

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This study identifies risks in brain-computer interface (BCI) technology lifecycles. Key concerns include inadequate regulation and training, highlighting the need for coordinated risk management strategies.

Area of Science:

Neurotechnology
Systems Engineering
Risk Management

Background:

Brain-computer interface (BCI) technologies are advancing rapidly.
Potential widespread societal implementation necessitates a thorough understanding of associated risks.
Current risk identification for BCIs is not yet comprehensive.

Purpose of the Study:

To identify individual, organizational, and societal risks throughout an invasive BCI system lifecycle.
To identify potential controls for mitigating or eliminating these identified risks.
To inform BCI device design, manufacture, adoption, and utilization through risk management.

Main Methods:

Development and validation of a BCI system lifecycle work domain analysis model.
Application of a systems thinking-based risk assessment approach.

Keywords:

Brain-computer interfaces Risk assessment System modelling

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Involvement of 10 subject matter experts for model validation.

Main Results:

Identification of 18 broad risk themes impacting the BCI system lifecycle.
Discovery of numerous controls to mitigate identified risks.
Highlighting inadequate regulation and stakeholder training as critical risks.

Conclusions:

Managing BCI risks is complex and requires a system-wide coordinated response.
Identified risk controls can inform BCI development and deployment.
Further research is needed to validate risk comprehensiveness and control implementation practicality.