ADS-2026Public Consultation Phase Now Open

Establishing the Standard for the Duty of Care in AI

Moving beyond abstract ethics into verifiable compliance. AIDuty.org defines the technical and governance requirements for responsible artificial intelligence.

ADS-2026: From Principles to Verifiable Requirements

The framework moves beyond high-level ethics into technical specifications that can be audited and verified.

Sample Requirement

AI Agent Transparency & Intent Disclosure

ID: VR-3.4 (PROPOSED)

Verification Method

Protocol-level metadata headers for non-human interactions. All automated responses must carry a cryptographic signature verifying agent identity.

Compliance Threshold

100% Disclosure compliance on public API endpoints.

Verification Log

GET /api/v1/inference HTTP/1.1

Host: provider.ai

X-ADS-Agent-ID: agent_77c2...

X-ADS-Signature: sig_v1_f8a2...

// Verification status: PASSED

The AI Duty Shield

Our framework is built on a core commitment to Human Wellbeing, supported by three non-negotiable pillars of technical and operational duty.

  • Human WellbeingThe foundational core of all AI development and deployment.
  • TransparencyVerifiable logs and explainable decision-making processes.
  • NeutralityMitigation of bias and preservation of pluralistic values.
  • SafetyRobust circuit breakers and fail-safe implementation.
CoreHuman Wellbeing
Transparency
Neutrality
Safety

The Three Pillars of Duty

The ADS-2026 Framework translates high-level principles into specific, verifiable requirements for AI developers and operators.

Transparency

Mandatory disclosure of training data provenance, model limitations, and real-time inference logs for high-stakes decisions.

Inference Traceability
Data Lineage Audits
Model Cards v2.0

Neutrality

Ensuring AI systems do not amplify systemic biases or manipulate public discourse through algorithmic preference.

Bias Stress Testing
Pluralism Verification
Adversarial Red-Teaming

Safety

Implementation of hardware-level circuit breakers and autonomous fail-safes for critical infrastructure AI.

Kill-Switch Protocols
Out-of-Distribution Detection
Formal Verification

Shape the Future of AI Compliance

We are seeking academics, founders, and policy experts to join our initial working group for the finalization of the ADS-2026 standard.

Apply to Working Group
Active Implementation

Pilot Case #001: AI4IP.io Implementation Report

Testing the ADS-2026 Framework against a live SaaS platform for intellectual property management. Our first pilot study evaluates real-world compliance costs and technical feasibility.

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Report publishing May 2026
Compliance Score82%
AI Duty | The ADS-2026 Framework for Verifiable AI Safety