E.10.LRN:6 - Bias Annotation

• Human-default bias: do not assume every use concerns a person’s capability.
• Machine-anthropomorphism bias: do not translate model fitting into human cognition or agency.
• Substrate bias: wet and dry neural networks can participate in several kinds of Work and result; material substrate does not choose the branch.
• Artifact bias: public construction improves inspectability but does not prove authorship, capability, or transfer.
• English-grammar bias: active/passive voice and English lexical convention do not establish causal structure.
• Metric bias: a changed score or loss does not identify which subject changed or which stronger claim it supports.