Automating the annotation of data science techniques in machine learning source files and artifacts

[anjsimmo]

Questions:

• Can deep learning models assist in automatically annotating artifacts (e.g. using active learning?)
• What human-machine interactions/interface is needed for optimally annotating artifacts?

Types of annotations:

• Annotations to save time performing compliance checks (AI ethics, etc.)

Use cases:

• Regulatory compliance (need to be able to explain the project to project managers / compliance / risk, who may not necessarily be trained in software engineering, but need assurance that code follows AI ethics, e.g. fairness, etc.). Could annotations of techniques be used to automatically generate documentation/explanations that do not require reading the code?