Between Lines of Code - Unraveling the Distinct Patterns of Machine and Human Programmers: Human Oversight and Decision Accountability
Keywords:
AI-assisted software engineering, human oversight and decision accountability, evidence synthesis, reproducibility, research evaluationAbstract
Human oversight is meaningful when intervention points, responsibility, escalation paths, and the evidence available to decision makers are explicitly defined. This structured evidence review evaluates "Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers" alongside nine author-disjoint, topically matched publications in AI-assisted software engineering. It compares construct definitions, evaluation choices, operating assumptions, and reported limitations instead of treating bibliographic similarity as empirical equivalence. Viewed through human oversight and decision accountability, the map separates claims supported by the available record from questions that still require full-text extraction, replication, or new experiments. The synthesis is interpretive rather than meta-analytic and therefore does not present a pooled effect estimate or a new causal result. The resulting agenda specifies reviewer authority, override logging, escalation procedures, and evaluation of automation bias.
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