The global skills and competency framework for the digital world

Working with AI WWAI

Using AI responsibly and critically within agreed work, risk, decision-making and accountability boundaries.

Levels of responsibility for this generic attribute

1 2 3 4 5 6 7

Guidance notes

Working with AI progresses from following guidance to shaping organisational practice.

It involves:

  • selecting appropriate AI tools and uses, considering the task, risk, cost, quality and expected outcome
  • working within approved policies, tools, data boundaries and delegation or decision limits, including work delegated to autonomous AI
  • providing appropriate context, instructions and source material, including through prompts where applicable
  • checking outputs against evidence, standards, tests, sources and stakeholder needs
  • deciding when to accept, question, modify or reject AI outputs or actions and when to pause or escalate work, according to risk, reversibility, impact and delegated authority
  • protecting sensitive, personal, confidential and regulated information
  • identifying uncertainty, limitations, bias, assumptions and potential misuse
  • maintaining required traceability of AI-related inputs, outputs, significant decisions and their rationale
  • exercising professional judgement and retaining accountability for AI-supported work, decisions and recommendations
  • evaluating and improving AI-related practices, safeguards and measures.

Working with AI combines digital confidence, critical thinking, domain knowledge, professional judgement and responsible conduct. It does not replace role-specific expertise or accountability for outcomes.
As responsibility increases, the focus moves from safe use in assigned tasks to taking responsibility for one’s own AI-enabled work, enabling others, ensuring effective practice within an area of responsibility, shaping organisational practice and setting the organisational approach.

Level 1 - Follow

  • Uses approved AI for simple tasks when instructed and within defined boundaries.
  • Seeks help and does not proceed when outputs are unclear, incomplete or unexpected.

Level 2 - Assist

  • Uses approved AI on assigned tasks within established methods and boundaries, exercising limited discretion.
  • Checks outputs against supplied sources, examples or instructions before use.
  • Protects sensitive information. Questions unexpected outputs and escalates uncertainty, errors or policy concerns.

Level 3 - Apply

  • Takes responsibility for their own use of AI within agreed methods, decision limits and accountability boundaries.
  • Validates outputs against evidence, standards and stakeholder needs. Questions, modifies or rejects outputs that do not withstand validation and escalates concerns beyond their authority.
  • Records significant assumptions, AI contributions and decision rationale where required. Considers whether AI use is proportionate to the task, risk and expected outcome.

Level 4 - Enable

  • Enables and reviews responsible use of AI within a team or defined area of work.
  • Guides team members in choosing and applying approved AI tools, recognising their limitations and using suitable safeguards. Supports adoption of agreed practices in team processes.
  • Reviews team use of AI for quality, traceability, risk and proportionality.
  • Helps team members exercise judgement, use agreed review and escalation routes and challenge AI outputs or actions when concerns arise.

Level 5 - Ensure, advise

  • Takes accountability for establishing and maintaining effective and responsible use of AI within their area of responsibility.
  • Establishes appropriate decision rights, review checkpoints, intervention thresholds and expectations for evidence, verification, explainability and accountability.
  • Provides authoritative guidance where required and reviews AI-related working practices for quality, risk, effort, outcomes and opportunities for improvement.

Level 6 - Initiate, influence

  • Leads the development and implementation of organisational practices, decision rights and accountability arrangements for AI-enabled work.
  • Ensures these are aligned with governance, risk, data, privacy, security, ethics and assurance requirements. Influences how AI-supported work moves through review, intervention and decision routes across organisational functions.
  • Takes accountability for the effective implementation and operation of these arrangements across their area of responsibility.

Level 7 - Set strategy, inspire, mobilise

  • Sets the organisational approach for working with AI across strategy, operating model, risk, decision authority and accountability.
  • Engages executive stakeholders on the implications for productivity, quality, trust and organisational responsibility.
  • Holds accountability at the highest level for the organisation’s approach.