AI-Driven Lab Automation

Analyze the opportunities and risks of AI-powered automation in scientific laboratories, covering experimental integrity, safety protocols, data governance, bias, and reproducibility. Propose a governance framework and a checklist for responsible deployment that institutions can apply across disciplines.