• views: 96
• date: 24 May 2026
• posted by: voska89

What you'll learn

Apply the Tallinn Manual's scale-and-effects test to AI cyber ops and determine whether Article 2(4) or Article 51 thresholds are crossed.
Work through the Nicaragua and Tadić attribution standards and identify where each breaks down when AI systems are in the targeting chain.
Identify the three points where IHL's distinction, proportionality, and precaution principles structurally fail under AI targeting architectures.
Assess whether an AI system's supply chain generates state responsibility under ILC Articles 4, 5, 8, and 16 and where accountability gaps emerge.
Advise on AI sovereignty claims, digital sovereignty assertions, and the governance gaps transnational AI architecture creates across domains.
Use a five-layer framework — actors, thresholds, conduct, accountability, governance — to analyse any novel AI warfare legal problem independently.

Requirements

No prior legal knowledge required — every doctrine is taught from its primary source
No prior technical AI knowledge required — relevant AI operational characteristics are explained as they arise
A general professional familiarity with either technology, security, law, or policy is helpful but not mandatory
An interest in how international law applies to real, documented AI deployments in active conflict environments

Description

AI systems are already operating in legal environments that international law was never designed to govern. Every engineer who builds a dual-use AI system, every security professional who responds to a state-sponsored cyber incident, and every legal advisor who counsels a defence contractor is operating inside a legal framework they almost certainly have not been taught—one that determines when their work generates state responsibility, crosses an IHL threshold, or triggers criminal liability up the chain of command.
This course closes that gap.
Foundations of International Law in the Age of AI is a rigorous techno-legal analysis of the five bodies of international law that AI-enabled technology is actively stressing in documented conflict environments right now: sovereignty, the prohibition on the use of force, the right to self-defence, state responsibility, and international humanitarian law. Every doctrine is taught from its primary source — treaty text and ICJ judgment — and applied directly to the operational characteristics of AI systems: autonomous targeting, cyber operations, algorithmic influence, and distributed supply chains.
Across 14 lectures organised around a permanent five-layer analytical framework, you will learn to apply the Tallinn Manual's scale-and-effects test to an AI-enabled cyber operation; work through the Nicaragua effective control test and the Tadić overall control standard and identify where each breaks down in AI proxy warfare; assess whether an AI system's supply chain generates state responsibility under ILC Articles 4, 5, 8, and 16; and identify the three structural points at which IHL's distinction, proportionality, and precaution principles fail under AI targeting architectures.
No prior legal knowledge is required. No prior technical AI knowledge is required. What is required is the recognition that these questions are no longer theoretical — they are being decided right now, in active conflict zones, by systems that people in this profession built or advised on.
This is the legal framework your work already operates inside. This course makes it legible.

Who this course is for

Cybersecurity professionals and threat intelligence analysts who work on state-sponsored cyber attribution, incident response, and AI-enabled attacks — and need the international legal framework that determines when those attacks cross from hostile act to use of force to act of war
AI engineers, ML architects, and software developers building dual-use, defence-adjacent, or government-facing systems who need to understand when their systems generate state responsibility, trigger IHL

Requirements

, or create export control liability
Legal professionals, in-house counsel, and compliance officers advising technology companies, defence contractors, or governments on the international legal obligations attached to AI system development, deployment, and export
Policy analysts, government advisors, and public sector professionals working on national AI strategy, autonomous weapons governance, cybersecurity law, or international security frameworks
Security consultants, GRC professionals, and risk advisors who need to brief boards and executive leadership on the international legal risk exposure of AI systems their organisations operate
International law students, LLM candidates, and legal researchers working at the intersection of technology, armed conflict, and state responsibility




   
   
   

Forex Trading

Crypto Trading. 20 USD Bonus after KYC

We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm

0 1 2 3 4 5

| Print version |

	Information
		Users of GUESTS are not allowed to comment this publication.