Technology
"If you don't think it is safe, it probably isn't."
BENEFITS OF AI-DRIVEN RISK ANALYSIS
Reduction of engineering costs
Automation of time consuming and error prone tasks:
Processing of technical documentation
Risk identification and classification
Generation of risk analysis reports
Reduction of critical failures
Seamless scaling with project complexity
One-click updates when new project information / documentation is available
Improved knowledge management
Indefinite retention of organizational knowledge
Collaborative review of risk analysis results with key stakeholders
Explainable AI
Explicit references to relevant sections of input documentation for risk identification
Traceability of AI model decisions throughout project evolution
ALTERNATIVE RISK ANALYSIS METHODS
FMEA (Failure Modes and Effects Analysis)
FMEA identifies potential failure modes within a system and assesses their impact to prioritize mitigation efforts.
Pros: Systematic, helps prioritize risks, improves reliability.
Cons: Time-consuming, may miss complex interactions.
FMECA (Failure Modes, Effects, and Criticality Analysis):
FMECA extends FMEA by adding a criticality analysis to quantify the severity and likelihood of failures.
Pros: Detailed prioritization, quantifies risk, enhances decision-making.
Cons: More complex and resource-intensive than FMEA, relies on accurate data.
HAZOP (Hazard and Operability Study)
HAZOP examines processes to identify hazards and operability issues through systematic deviation analysis.
Pros: Thorough, identifies operational issues, enhances safety.
Cons: Requires expert knowledge, labor-intensive, may be subjective.
STPA (System-Theoretic Process Analysis)
STPA uses a systems theory approach to identify unsafe interactions and control flaws in complex systems.
Pros: Addresses complex interactions, focuses on control systems, adaptable to various domains.
Cons: Requires deep understanding of systems theory, only qualitative.