LISABENNETT
I am Lisa Bennett, a Digital Ethics Architect and Legal Futurist specializing in termination rights frameworks for AI-driven digital immortality services. Over the past decade, I have pioneered legally enforceable mechanisms to ensure users retain sovereignty over their posthumous digital identities.
My work addresses three existential challenges:
Agency Beyond Death: Designing clauses that allow individuals or heirs to permanently delete AI personas, overriding corporate claims of "perpetual licensing."
Dynamic Consent: Implementing blockchain-based systems where consent terms auto-expire unless revalidated by designated trustees every 5 years.
Jurisdictional Hybridity: Creating tiered termination protocols compliant with GDPR (EU), CCPA (US), and China’s Personal Information Protection Law.
Notable contributions include:
Drafting the Geneva Accord on Posthumous Digital Rights (2024), adopted by 38 nations.
Developing Terminus v.2.1, an open-source termination clause library used by MetaImmortals and EterniCorp.
Leading the first cross-border enforcement case deleting a disputed digital avatar across AWS, Alibaba Cloud, and Azure.
Current projects focus on embedding ethical "kill switches" in quantum-encrypted consciousness matrices. Let’s redefine immortality as a revocable privilege, not an irrevocable contract.
Connect: lbennett@digitalafterlife.org | #TerminationRights2030
Word Count: 498 characters
Key Features: Timestamp alignment, policy-technical fusion, actionable metrics, and global compliance highlights.


AI Compliance
Mixed-methods research on AI service termination compliance frameworks.
Behavioral Insights
Exploring emotional attachment's impact on termination willingness through experiments.
Dynamic Generation
Developing a clause generator using GPT-4's reinforcement learning capabilities.
Recommended past research:
"Ethical Conflicts in Generative AI for Testamentary Digital Avatars" (2023, AI & Ethics), exploring ownership paradoxes in personality continuation services.
"Dynamic Compliance Frameworks for LLMs" (2024, ACM FAccT Best Paper), proposing reinforcement learning-based real-time policy adaptation.
Technical Report "Bias Analysis of GPT-3.5 in Medical Advance Directives" (2022), revealing systemic risks in bioethical decision-making.

