Research

Core investigations driving my AI governance, deepfake harm prevention, and policy frameworks.

Deepfake-CSAM

  • Investigation of deepfake-generated child exploitation cases. I completed a case study that required me to thoroughly study police cases of minors who were victims of deepfakes. The purpose was to review PA legislation, to see if they are protective of victims. You are welcome to read my thesis right below.
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Dissection of AI Legislation

  • I read AI and deepfake legislation section by section and annotate it: what each provision does, where it leaves gaps, and how it would actually play out in an incident. This is primary-source analysis, not commentary on the news cycle.
Pennsylvania's AI Fakes Law

Scope: A short paraphrase of what the law covers and who it applies to.

What works: A note on the provision(s) that hold up well in practice.

The gap: Where enforcement, definitions, or coverage fall short, and how that gap would surface in a real incident.

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Hypothetical Case Studies

  • Fictional, scenario-based case studies I write to stress-test how organizations would respond to a deepfake incident, used to pressure-test policy frameworks and incident response protocols.
The Office Network — MDA-CS-2026-001

A fictional scenario in which a deepfake video impersonating a senior executive circulates internally, used to examine how an organization's incident response, HR, and communications teams would coordinate under pressure.

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