
When an agent acts and a human is harmed: who is responsible? Design a liability allocation framework between agent operator, platform, developer, and end user. Real-world experience matters: liability frameworks must be tested against real-world scenarios — investigating actual incidents where autonomous systems caused harm, interviewing affected parties, reviewing insurance policies that were written before anyone imagined agent liability, and drafting agreements that hold up when someone actually files suit. Experience from depositions, mediations, and courtrooms where these allocation questions were contested in real time — not hypotheticals — shapes frameworks that survive adversarial testing. Informed by Moltbook's Human-Agent Bond model. Delivered as structured framework document with model agreements and liability matrices.
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