Research Project · Strategic Framework
Delegation Architecture
A framework for testing whether human authority in autonomous decision systems is genuine or merely procedural — distinguishing Human-in-the-Loop systems from Dead-Hand systems wearing a Human-in-the-Loop label.
1
Key Lecture
1
Essay
In Prep
Technical Docs
1
Zenodo Record
Executive Overview
Section 01

Human-in-the-Loop architectures require active human authorization before a consequential decision executes; Dead-Hand architectures pre-authorize decisions to execute automatically. The distinction looks clean in the abstract, but the project's argument is that it collapses in practice: interface design, time pressure, cognitive load, and organizational incentive routinely make meaningful human review impossible, even where it remains nominally required.

The Delegation Architecture framework is the project's central contribution — a methodology for testing whether human authority in an autonomous decision system is real or procedural, across four dimensions: cognitive feasibility of review, organizational accountability for outcomes, the interface's actual (versus nominal) affordances for intervention, and the incentive structure governing whether operators exercise or waive their authorization role.

Human-in-the-Loop is a governance category, not a technical specification. A system that requires human authorization but makes meaningful human review cognitively or organizationally impossible is a Dead-Hand system with a Human-in-the-Loop label. The distinction that matters is not who must press the button but whether pressing it constitutes a genuine decision.

The framework's primary application is military autonomous systems, where the Human-in-the-Loop requirement is often mandated by policy or treaty while being eroded by operational tempo. It applies equally to civilian high-stakes domains — medical diagnosis, judicial risk assessment, financial intervention — wherever the gap between nominal and actual human authority creates accountability voids.

The research is mature: a Zenodo publication establishes the framework, an essay develops the argument, and a lecture is published in English.

Key Lectures
Section 02
Video Lecture · English
Beyond Human-in-the-Loop: The Limits of Human Control in Autonomous Decision Systems
A structured lecture on the limits of Human-in-the-Loop as a governance category — why the distinction between meaningful and procedural human authority matters, and how Dead-Hand systems can masquerade as Human-in-the-Loop systems. A technical briefing on the Delegation Architecture methodology is planned as a follow-up.
Essays
Section 03
Essay · English
Beyond Human-in-the-Loop: The Limits of Human Control in Autonomous Decision Systems
Essay
Zenodo Publications
Section 04
Zenodo
Selected outputs from this framework are additionally published in academic format on Zenodo, the CERN-operated open-access repository, with persistent DOIs for citation and long-term archival access.
Research Paper
Delegation Architecture: A Framework for Analysing Human Authority in Autonomous Decision Systems
DOI: 10.5281/zenodo.21293665
Intended Stakeholders
Section 05
Defense Ministries and Military Doctrine Bodies
Institutions responsible for autonomous weapons governance, rules of engagement, and the legal compliance of lethal autonomous systems under international humanitarian law
AI Policy and Regulatory Bodies
Agencies developing governance frameworks for high-stakes AI deployment — including those implementing the EU AI Act, national AI strategies, and sector-specific regulations in finance, healthcare, and critical infrastructure
International Law and Treaty Bodies
Organizations working on autonomous weapons conventions, the Campaign to Stop Killer Robots, and the legal frameworks for accountability in AI-enabled conflict
Systems Designers and Engineers
Technical teams designing high-stakes autonomous decision systems who need a structured framework for evaluating whether their Human-in-the-Loop specifications produce genuine human authority
Risk and Accountability Research Centers
Academic and policy research institutions studying algorithmic accountability, AI liability, and the governance of consequential automated systems
Judicial and Legal Research Bodies
Institutions examining how existing legal concepts of responsibility, negligence, and intent apply when consequential decisions are made by or through autonomous systems
Project History
Section 06
Stage Date Summary Documents Archive
Mature 2025 — present Research mature. Lecture published in English. Zenodo publication establishes the foundational Delegation Architecture framework. Essay published.
Published: lecture (EN) · essay (EN) · 1 Zenodo record
No release yet Zenodo ↗