Human rights due diligence — and the military AI debate

Lesson 5 of 5 in AI, Elections, Labor, Competition, and the Planet.

Regulators keep describing AI regimes as "rights-based," and this curriculum keeps invoking fundamental rights — but the machinery underneath comes from a framework most AI professionals have never read: the UN Guiding Principles on Business and Human Rights (UNGPs, endorsed unanimously in 2011). Three pillars: states have a duty to protect human rights; businesses have an independent responsibility to respect them — which exists regardless of whether local law requires it; and victims need access to remedy. The second pillar is operationalised through human rights due diligence (HRDD): an ongoing cycle of identifying, preventing, mitigating, and accounting for human-rights impacts across your operations and your value chain. The UN’s B-Tech project has spent years translating exactly this machinery for technology companies, including a generative-AI harms taxonomy — it is the closest thing to an official answer to "what does respecting rights mean for an AI provider."

Why an AI expert needs this: HRDD is becoming law. The EU’s Corporate Sustainability Due Diligence Directive (CSDDD, 2024) converts the voluntary UNGP cycle into mandatory due diligence for large companies — though verify its current scope and timeline, which the 2025–26 omnibus process delayed and trimmed. And the UNGPs supply the severity logic every serious impact assessment borrows: rank impacts by scale (how grave), scope (how many people), and remediability (can it be undone) — from the rightsholder’s perspective, not the company’s risk register.

That perspective shift is the entire difference between a human rights impact assessment (HRIA) and the assessments you already know. A DPIA asks "what are the risks of this processing to data subjects" within data-protection law; a FRIA asks about fundamental-rights impacts of a specific high-risk deployment. An HRIA runs the full method: scope the system and context, engage affected rightsholders directly (not personas — actual affected people or their legitimate representatives), assess against the full international bill of rights, rank by scale-scope-remediability, act on the findings, track, and publish. The Council of Europe’s HUDERIA is a cousin methodology built for AI specifically — taught in the global domain. In practice you will run these as one integrated assessment with three output views; what the human-rights lens adds is the engagement duty and the insistence that severity is measured on victims, not on corporate exposure.

Pillar 1 — the state duty to protect

States must protect against human-rights abuse by third parties, including business, through policy, regulation, and adjudication. AI translation: this pillar is the justification rights-based AI statutes cite — the EU AI Act’s fundamental-rights architecture and the CoE Framework Convention are Pillar 1 instruments.

Pillar 2 — the corporate responsibility to respect

Independent of local law: a company operating where AI abuse is legal still bears the responsibility. Its operational core is HRDD (identify → prevent/mitigate → track → communicate), covering impacts the company causes, contributes to, or is directly linked to through business relationships — a trichotomy that maps uncannily well onto provider / deployer / value-chain questions in AI.

Pillar 3 — access to remedy

Judicial and non-judicial grievance mechanisms for victims. AI translation: appeal and redress channels for people affected by automated decisions — the least-built pillar in practice, and the first thing a rigorous HRIA flags as missing.

Finally, the domain nearly every AI statute exempts and no AI expert may ignore: military AI. The EU AI Act excludes military and defence uses entirely; national-security carve-outs riddle other regimes. What fills the space is a thin, contested lattice of international humanitarian law (IHL), one national directive, and a decade of diplomacy over lethal autonomous weapon systems (LAWS) — weapons that select and engage targets without further human intervention.

The debate has a stable geometry. The ICRC and a large state bloc want a two-tier treaty: prohibit autonomous weapons that target humans or cannot be used in compliance with IHL; strictly regulate the rest — with the UN Secretary-General calling for a binding instrument. Major military powers — the US, Russia, and others — resist new binding law, arguing existing IHL suffices and definitions are unworkable; the UN’s consensus-bound CCW expert group has produced guiding principles but no treaty in over a decade of talks, which pushed the issue into the UN General Assembly (first LAWS resolutions in 2023 and 2024) and into voluntary tracks: the US-led Political Declaration on Responsible Military Use of AI and Autonomy and the REAIM summit series (The Hague 2023, Seoul 2024). Meanwhile actual practice runs ahead of all of it — loitering munitions with autonomous modes in Ukraine, reported AI-assisted targeting systems in Gaza — a reminder that in this domain, capability is deployed first and governed later, if at all.

The military-AI governance lattice — know what binds
InstrumentNatureWhat it actually saysTrap to avoid

International humanitarian law

Binding on all parties to conflict

Distinction, proportionality, precaution apply to any weapon, autonomous or not; Art 36 AP I requires legal review of new weapons

Binding, yes — but written for human decisions; how it constrains machine speed and scale is the whole dispute

DoD Directive 3000.09 (2012, updated 2023)

Binding US internal policy

Autonomous and semi-autonomous weapons must allow appropriate levels of human judgment over the use of force; certain systems need senior-official review before development and again before fielding

It is not a ban and does not require a “human in the loop” for every engagement — “appropriate human judgment” is a deliberately flexible standard set at design and authorisation, not per shot

CCW GGE on LAWS

Treaty forum, consensus-bound

11 guiding principles (2019): IHL applies, human responsibility retained, accountability non-transferable to machines

A decade of talks, no treaty — consensus rules give every military power a veto; do not cite the GGE as if it produced binding limits

UNGA resolutions (2023, 2024)

Non-binding, majority-voted

Put LAWS on the General Assembly agenda, commissioned the Secretary-General’s report, built pressure for a binding instrument

Momentum markers, not law — but they broke the CCW’s monopoly on the issue

Political Declaration + REAIM

Voluntary political commitments

Responsible-use norms: human accountability, testing, auditability of military AI; dozens of endorsing states

Endorsement lists are diplomatic signals; several endorsers deploy the very systems under debate

Key terms: UN Guiding Principles on Business and Human Rights (UNGPs), human rights due diligence (HRDD), human rights impact assessment (HRIA), CSDDD (Corporate Sustainability Due Diligence Directive), lethal autonomous weapon systems (LAWS), meaningful human control

Tool: Global Governance Atlas — Open the Governance Atlas and trace how the topics in this module — elections, labor, competition, environment, military — attach to different institutions in each jurisdiction.

Interactive checkpoint quiz (2 questions) — open this page in a browser to take it.