AI Voice Liability Framework

Design a stakeholder-centered framework for addressing civil liability in unauthorized AI voice replication. Define what counts as 'inappropriate use', identify responsible parties (creators, platforms, distributors, end-users), propose liability triggers, remedies, and defenses, and explore cross-border enforcement challenges. Assess how evidentiary standards, transparency requirements, watermarking, and consent regimes could mitigate risk. Compare different policy approaches (strict liability vs. fault-based) and outline an implementation plan for regulators, industry, and civil society to balance innovation with rights protection.