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The American Psychological Association (APA) provides broad guidance for generative Artificial Intelligence (gAI) use, yet forensic practice requires a specialized context for adversarial settings. This article proposes a four-step operational framework for ethical gAI integration grounded in forensic admissibility. It establishes operational mandates and readiness assessments followed by a risk-stratification model for tool selection distinguishing convergent from divergent tasks. It differentiates substantive from peripheral uses to guide disclosure decisions, and addresses admissibility considerations under Daubert and Frye. Sample disclosure language and visual aids help experts preserve credibility through methodological verification and systematic procedural rigor, rather than algorithmic trust.
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Sebastian Rilen (2026) studied this question.
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