Body of Knowledge

1.1.2 - practical guidance for 'defining the operating environment':

• automotive

1.1.3 - practical guidance for 'defining operating scenarios':

• automotive
• manufacturing

1.2 - practical guidance for 'identifying hazardous system behaviour':

• automotive
• cross-domain

1.2.1 - practical guidance for 'considering human/machine interactions':

• social care 
• automotive
• cobots (collaborative robots)
• manufacturing

1.4 - practical guidance for 'impact of security on safety':

• cross-domain

2.2.4.3 - practical guidance for 'verification of deciding requirements':

• cross-domain

2.3 - practical guidance for 'implementing requirements using ML':

• cross-domain

2.3.1 - practical guidance for 'sufficiency of training data':

• cross-domain

2.3.2 - practical guidance for 'sufficiency of the learning process':

• cross-domain

2.3.3 - practical guidance for 'verification of the learned model':

• cross-domain (AAIP guidance)
• cross-domain and automotive (TIGARS project)
• cross-domain (Safe-SCAD project)

2.4 - practical guidance for 'Controlling interactions with other systems':

• Cross-domain guidance on assurance objective: Identify how interactions between the RAS and other systems may give rise to unsafe behaviour.
• Cross-domain guidance on assurance objective: Manage interactions between the RAS and other systems to ensure they do not result in unsafe behaviour.

2.6 - practical guidance for 'handling change during operation':

• manufacturing

2.7 - practical guidance for 'using simulation':

• cross-domain and automotive

2.8 - practical guidance on:

• interpretability techniques for 'explainability' (cross-domain)
• interpretability requirements for 'explainability' (cross-domain)
• interpretability evaluation for 'explainability' (cross-domain)

3.1 practical guidance for 'identifying potential deviations from required behaviour':

• cross-domain

3.2 practical guidance for 'mitigating potential deviations':

• automotive