Artificial Intelligence and Robotics Readiness and Responsibility
A rigorous assessment of an applicant's ability to manage artificial intelligence and robotic systems to desired outcomes — across two major modules covering AI and Robotics governance.
The AIRRs Test — the Test for Artificial Intelligence and Robotics Systems — is AIRI's flagship assessment instrument. It is designed to evaluate an applicant's practical competency in managing artificial intelligence and robotic systems in order to achieve specified, desired outcomes.
The test is structured around two major modules: the AI Module, which assesses competency in governing and directing AI systems, and the Robotics Module, which assesses competency in governing and directing autonomous and semi-autonomous robotic systems.
Applicants may sit either module independently or both modules together. Each module is assessed at three progression levels — Foundation, Practitioner, and Expert — enabling the AIRRs Test to serve individuals at every stage of their professional development, from students to senior executives.
Unlike purely technical certifications, the AIRRs Test assesses the ability to achieve desired outcomes — the practical governance competency that matters most.
The AIRRs Test is not tied to any specific AI platform, robotic system, or technology vendor. Competencies are transferable across systems and contexts.
Designed for anyone who governs, manages, or is accountable for AI and robotic systems — not only engineers and data scientists.
A tiered progression from Foundation to Expert allows individuals to demonstrate competency appropriate to their role and responsibility.
Managing AI to Desired Outcomes
The AI Module assesses an applicant's ability to govern, direct, and manage artificial intelligence systems in order to achieve specified, desired outcomes. This module evaluates competency across the full lifecycle of AI deployment — from objective-setting and system selection through to monitoring, correction, and responsible decommissioning.
Defining clear, measurable, and ethically sound objectives for AI systems; translating organisational or policy goals into AI-operable parameters.
Assessing AI systems against fitness-for-purpose criteria; understanding capability boundaries, data requirements, and known failure modes.
Monitoring AI system behaviour in deployment; identifying deviations from intended outcomes and initiating corrective action.
Identifying and mitigating risks of bias, harm, and unintended consequences; applying ethical frameworks to real-world AI governance decisions.
Determining appropriate levels of human oversight and intervention; maintaining meaningful human control over consequential AI-assisted decisions.
Documenting AI governance decisions; communicating AI system performance and limitations to relevant stakeholders.
Managing Robotics to Desired Outcomes
The Robotics Module assesses an applicant's ability to govern, direct, and manage autonomous and semi-autonomous robotic systems in order to achieve specified, desired outcomes. This module evaluates competency in the safe, effective, and responsible management of robotic systems across operational environments — from industrial and service contexts to safety-critical applications.
Specifying operational objectives for robotic systems; translating human intent into robotic task parameters with appropriate precision and safety margins.
Identifying hazards in human-robot interaction environments; applying safety protocols and risk mitigation strategies for autonomous systems.
Directing robotic systems to achieve desired outcomes; intervening appropriately when systems deviate from intended behaviour or encounter unforeseen conditions.
Interpreting robotic system telemetry and performance data; identifying anomalies and initiating appropriate responses.
Managing the interface between human operators and robotic systems; ensuring clear communication of system status, limitations, and handover protocols.
Applying relevant regulatory frameworks and safety standards to robotic deployments; ensuring accountability for robotic system outcomes.
Each module of the AIRRs Test is offered at three levels of progression, enabling assessment appropriate to an individual's role, experience, and responsibility.
Demonstrates foundational knowledge of AI and robotics governance concepts. Suitable for individuals beginning their engagement with AI/robotics management responsibilities.
Students, entry-level practitioners, policy analysts
Demonstrates the ability to apply governance competencies in practical operational contexts. Suitable for professionals with direct AI or robotics management responsibilities.
Operational managers, technical leads, compliance officers
Demonstrates advanced competency in AI and robotics governance, including the capacity to design governance frameworks and lead institutional strategy.
Senior executives, policymakers, institutional governance leads
The AIRRs Test is designed to assess practical governance competency, not merely theoretical knowledge. Assessment methodologies are developed in accordance with AIRI's standardization principles and are subject to regular review.
Full details of the assessment format, examination structure, and administration arrangements will be published in the AIRRs Test Specification. Institutions and candidates interested in the AIRRs Test are invited to register their interest via the Contact page.
Applicants are assessed through realistic governance scenarios that require the application of competency, not the recall of facts.
Assessment criteria are anchored to the ability to achieve desired outcomes — the defining measure of governance competency.
The AIRRs Test is administered and marked independently of the applicant's institution, ensuring objectivity and credibility.