Description
Who Should Complete This Module:
This module is suitable for all staff that are allowed to use moderate use of AI.
Learning Objectives:
Understand why AI use at work requires different rules and judgement compared to personal use.
Identify when AI can be used, when it must not be used, and when to pause and seek guidance.
Apply the organisation’s Four Pillars of Responsible AI Use (Transparency, HumanintheLoop, Security & Privacy, Accountability) to everyday tasks.
Recognise highrisk and prohibited AI use cases, including handling personal, sensitive, confidential, or restricted information.
Use AI appropriately to support drafting, summarising, and brainstorming, while retaining human review and accountability.
- Distinguish between using AI to assist individual work and implementing AI into systems or processes and understand when formal approval is required.
- Identify common AI risks, including inaccurate. outputs, bias, automation bias, privacy/security exposure, and intellectual property concerns.
- Respond appropriately when something goes wrong, including early escalation of AI related issues.
Learning Outcomes:
After completing this module, staff will be able to:
Explain what responsible AI use means in the workplace, including why AI use at work carries different responsibilities than personal use.
Identify when AI can and cannot be used at work, based on the organisation’s position, approved tools, and permitted information types.
Apply the Four Pillars of Responsible AI Use (Transparency, HumanintheLoop, Security & Privacy, Accountability) to everyday work tasks.
Recognise situations where AI use is prohibited or highrisk, including handling personal, sensitive, confidential, or restricted information.
Use AI appropriately to support work tasks such as drafting, summarising, or brainstorming, while ensuring human review and judgement remain central.
Distinguish between using AI to assist individual work and implementing AI into systems, processes, or decisions, and understand when formal approval is required.
Identify common AI risks, including inaccurate outputs, bias, automation bias, privacy breaches, security exposure, and intellectual property concerns.
Apply a practical decision test to determine when not to use AI, and confidently decide when to pause and seek guidance before proceeding.
Understand their personal accountability for AI assisted work, including responsibility for accuracy, appropriateness, and impacts of decisions.
Recognise when AI assisted outcomes may significantly impact people, and understand the importance of human oversight and contestability.
Respond appropriately if something goes wrong, including knowing when and why to escalate AI related issues early.
Demonstrate confidence in making safe, responsible decisions about AI use at work, aligned with organisational expectations and obligations.
Topics Covered:
What “responsible AI use” means in a workplace context.
The organisation’s moderate AI use position, including approved tools and permitted data types.
The Four Pillars of Responsible AI Use and how they apply in practice.
Information handling rules when using AI, including privacy, security, and confidentiality boundaries.
A practical decision test to help staff decide when not to use AI.
Acceptable uses of AI (with review) versus prohibited and highrisk uses.
The difference between using AI and implementing AI, and associated governance requirements.
Reliability risks, including automation bias and overreliance on AI outputs.
Intellectual property and copyright considerations for AI generated content.
Contestability and human oversight when AI assisted outcomes impact people.
Role based scenarios illustrating common AI risks across HR, finance, customerfacing, and technical roles.
Escalation and reporting expectations when AI use may have crossed boundaries.
Key Benefits:
Establish clear, practical boundaries for AI use that staff can confidently apply.
Reduce privacy, security, legal, and reputational risks associated with unmanaged AI use.
Reinforce that humans remain accountable for decisions and outcomes, even when AI is used.
Promote consistent, transparent, and responsible AI use across all roles.
Support compliance with existing acceptable use, privacy, security, and governance frameworks.
Build staff confidence to pause, question, and escalate rather than rely blindly on AI.
Enable safe productivity gains from AI while avoiding high-risk or inappropriate use.
Provide a foundation for ongoing governance, refresher training, and future AI policy development.