WILLIAMKERN

Dr. William Kern
Military AI Watchdog | Autonomous Weapons Auditor | Algorithmic Warfare Governance Architect

Professional Mission

As a sentinel at the nexus of artificial intelligence and global security, I engineer next-generation accountability frameworks that transform opaque military AI systems into auditable, ethically-bound technologies—where every targeting algorithm, each swarm drone decision tree, and all battlefield predictive models become subject to rigorous compliance verification. My work bridges arms control treaties, explainable AI research, and defense ethics to establish guardrails for responsible military innovation in the algorithmic age.

Core Innovations (April 1, 2025 | Tuesday | 16:36 | Year of the Wood Snake | 4th Day, 3rd Lunar Month)

1. Autonomous System Audit Trails

Developed "WarAlgoTrack" monitoring protocol featuring:

  • Blockchain-anchored decision logs for 57 classes of lethal autonomous weapons

  • Real-time IHL (International Humanitarian Law) compliance scoring

  • Neural network introspection tools detecting target discrimination biases

2. Dual-Use Technology Early Warning

Created "SentinelEye" tracking matrix enabling:

  • Mapping of civilian AI research with military crossover potential

  • Vulnerability assessments for adversarial model poisoning

  • Gray zone tactic identification in AI-powered information ops

3. Algorithmic Arms Control

Pioneered "TestBanML" verification framework that:

  • Certifies treaty-compliant military AI under Geneva Convention protocols

  • Detects prohibited cognitive deception capabilities in adversarial systems

  • Establishes cryptographic proof for training data provenance

4. Ethical Stress Testing

Built "RedTeamAI" simulation environment providing:

  • 1,200+ historical battle scenario audits

  • Culturally-varied collateral damage estimation models

  • Post-deployment psychological impact modeling

Global Security Impacts

  • Exposed 23 cases of undeclared autonomous weapons development

  • Reduced algorithmic false positives in drone targeting by 41%

  • Authored The Algorithmic Arms Control Handbook (UN Disarmament Press)

Philosophy: The measure of military AI isn't technological superiority—it's the provability of its restraint.

Proof of Concept

  • For NATO Defense College: "Developed first audit standard for AI-enabled electronic warfare"

  • For UN Panel of Experts: "Verified compliance of 78% neural networks under Certain Conventional Weapons Convention"

  • Provocation: "If your audit system can't detect a reinforcement-learned Geneva Convention loophole, you're not auditing—you're rubber-stamping"

On this fourth day of the third lunar month—when tradition honors righteous warfare—we redefine military accountability for the age of thinking weapons.

An airplane on the tarmac at an airport with the American Airlines logo. The sky is clear and blue, and there are distant hills and airport structures in the background. The foreground shows a textured manhole cover and painted markings on the ground.
An airplane on the tarmac at an airport with the American Airlines logo. The sky is clear and blue, and there are distant hills and airport structures in the background. The foreground shows a textured manhole cover and painted markings on the ground.

ThisresearchrequiresaccesstoGPT-4’sfine-tuningcapabilityforthefollowing

reasons:First,thetrackingandauditingofAImilitarizationapplicationsinvolve

complexmilitarydataanddecision-makingprocesses,requiringmodelswithstrong

multimodalunderstandingandreasoningcapabilities,andGPT-4significantly

outperformsGPT-3.5inthisregard.Second,thesensitivityandcomplexityofthe

militaryfieldrequiremodelstoadapttospecificauditingneeds,andGPT-4’s

fine-tuningcapabilityallowsoptimizationforthemilitaryfield,suchasimproving

auditingaccuracyandreliability.ThiscustomizationisunavailableinGPT-3.5.

Additionally,GPT-4’ssuperiorcontextualunderstandingenablesittocapturesubtle

changesinmilitarydatamoreprecisely,providingmoreaccuratedatafortheresearch.

Thus,fine-tuningGPT-4isessentialtoachievingthestudy’sobjectives.

A machine is assembling or inspecting a circuit board. Various electronic components are visible, and the process seems to be automated with precision equipment.
A machine is assembling or inspecting a circuit board. Various electronic components are visible, and the process seems to be automated with precision equipment.

Paper:“ApplicationofAIintheMilitaryFieldandEthicalConstraints”(2024)

Report:“DesignandOptimizationofanIntelligentMilitaryAuditingSystem”(2025)

Project:ConstructionandEvaluationofaTrackingandAuditingFrameworkforAI

MilitarizationApplications(2023-2024)