System Hardware
Faults in the hardware can violate the correct execution of any algorithm by violating its control flow. Hardware faults can also cause memory-based errors and interfere with data inputs, such as sensor signals, thereby causing erroneous results, or they can violate the results in a direct way through damaged outputs.
ENTITY
2 - AI
INTENT
2 - Unintentional
TIMING
3 - Other
Risk ID
mit185
Domain lineage
7. AI System Safety, Failures, & Limitations
7.3 > Lack of capability or robustness
Mitigation strategy
1. Implement hardware and system redundancy, including failover mechanisms and fault-tolerant architectures (e.g., RAID configurations, dual power supplies, and clustered systems), to eliminate single points of failure and ensure continuous operational capability despite component malfunction. 2. Institute a comprehensive, real-time monitoring and predictive maintenance regimen, utilizing sensor data, performance metrics, and machine learning models to proactively detect thermal stress, anomalies, and component degradation, thereby enabling preventative intervention prior to catastrophic failure. 3. Establish a robust data backup and disaster recovery protocol, mandating continuous data replication (on-site and cloud-based), setting rigorous Recovery Point Objectives (RPOs), and conducting scheduled validation testing of recovery procedures to guarantee data integrity and rapid restoration of service post-failure.
ADDITIONAL EVIDENCE
In general, hardware-related failures can be divided into three groups: • Random hardware failures; • Common cause failures; • Systematic failures