Module Connections

Federal AI Preemption Research

sw-preemption.valxltm.pages.dev

Connection: If AI output is classified as a product rather than speech, federal product safety preemption becomes the primary regulatory framework. The preemption module analyzes constitutional, economic, and fragmentation arguments for federal AI regulation.

Status: ACTIVE | 12 pages | 847 artifacts

Master Portal Dashboard

steven-master-portal.pages.dev

Connection: Central hub linking all research modules. Includes hot topics tracker, publications page, and unified navigation across the research portfolio.

Status: ACTIVE | Unified dashboard

AI as Product

This module reinforces the product liability thesis with the Conway order precedent. If courts adopt the product classification, the Federal Preemption module's analysis of regulatory frameworks becomes directly applicable.

Key linkage: Garcia v. Character.AI Conway order → Product safety preemption analysis

Section 230 Module

Expands the existing Section 230 analysis with generative AI specifics. The CDT, Lawfare, and Matt Perault analyses examine why traditional intermediary liability frameworks don't apply to LLM outputs.

Key linkage: "Information content provider" analysis → Section 230 reform implications

Penumbral Duties

Orthogonal relationship—speech classification doesn't supersede privacy and autonomy questions. Even if AI output is protected speech, other duties may still apply.

Key insight: Speech classification is necessary but not sufficient for full liability analysis

Steven Weisburd Publication Strategy

This research supports Steven's goal of establishing recognition as an AI/Robotics product liability expert. Key publication opportunities:

• AI speech classification white paper
• Post-Garcia liability landscape analysis
• Practitioner's guide to AI litigation frameworks