Archives: KSB

Describe organisational responsibilities under equality and employment law when adopting AI or automation.

Describe methods used to evidence fairness and transparency in the adoption of AI or automation.

Apply algorithmic impact assessment or workforce equality monitoring techniques when working on AI or automation activities.

Gather and analyse workforce data or other relevant evidence to understand how AI or automation may affect different workforce groups.

Contribute evidence based recommendations to support fair and inclusive adoption of AI or automation.

Describe inclusive strategies for communicating AI or automation concepts clearly to non technical stakeholders.

Describe methods used to assure compliance in AI or automation projects, including documentation of model decision-making.

Describe the role of structured risk assessments in identifying and managing risks associated with AI or automation.

Explain why auditability, transparency, and accountability are important in organisational use of AI or automation.

Maintain clear and accurate documentation relating to AI or automation design, decision making, or use in line with organisational requirements.