Аудит предвзятостей AI-систем для маркетинга

★ 6.9 · marketing

ai-bias-audit is a Claude Code skill that runs a structured audit of AI system biases, identifying gaps, risks, and opportunities before producing specific, actionable recommendations backed by measurable metrics. At the start of each run it reads memory.md and knowledge-base.md to incorporate project context, then logs outcomes and follow-up tasks to TaskBoard.md. The audit applies one of several built-in frameworks — AI Readiness Assessment, Automation ROI Calculator, or Human-in-the-Loop Design — and delivers formatted output with implementation tables, risk matrices, and KPIs such as Error Reduction %, Automation Rate, Cost Per AI Operation, and User Adoption Rate. It is aimed at marketing teams adopting AI tools who need a responsible, evidence-based approach to automation rather than generic advice.