Catalog
SFS E — AI Training and Implementation

SFS E: AI-Oriented Ethics (Training and Implementation)

All 16 sets · What is an SFS?

Assess the ethical and accountable practices used to source data, develop, train, test, and prepare AI systems for deployment.

Scope and boundaries

This set covers the provenance and permitted use of training data, documentation of model choices, evaluation of bias and fairness, privacy considerations, and responsibility for approving deployment. Questions should state the intended use, relevant populations, evidence, and acceptance criterion. Ethical findings must remain distinguishable from security controls such as access permissions and protection of training inputs. General engineering practices belong to SFS 7 and SFS 8; behavior and oversight after deployment belong to SFS F.

The sixteen questions

Each SF position is one question. Both positions run from 0 to F.

SFQuestion pageAuthoring record
0SF 000E0
1SF 100E1
2SF 200E2
3SF 300E3
4SF 400E4
5SF 500E5
6SF 600E6
7SF 700E7
8SF 800E8
9SF 900E9
ASF A00EA
BSF B00EB
CSF C00EC
DSF D00ED
ESF E00EE
FSF F00EF

From questions to a profile

Only reviewed, accepted 0/1 assessments can populate the sixteen-bit set profile. SF 0 is the most significant bit and SF F the least significant bit. The completed result uses four hexadecimal digits, including leading zeros. A catalog definition does not establish a completed assessment profile.

Read assessment and validation, then encoding. A set profile preserves individual answers; it is not a summed security score.