What Is Generative AI?

Artificial intelligence refers to computer systems designed to perform tasks that normally require aspects of human intelligence. These tasks may include recognising patterns, processing language, making predictions, solving problems and generating content.

Generative AI is a category of artificial intelligence that produces new content in response to instructions provided by a user. It can generate:

• Written text
• Summaries
• Images
• Presentations
• Audio and video
• Computer code
• Ideas and recommendations
• Structured information such as tables and plans

The instruction given to an AI tool is commonly called a prompt.

How Generative AI Produces Responses

Generative AI is trained using large quantities of existing information. It learns patterns in language and other forms of content. When a user submits a prompt, the system predicts and generates a response based on those patterns.

It does not necessarily retrieve a verified answer from an authoritative database. It may produce a convincing response that is incomplete, outdated or incorrect.

This means that fluency is not the same as accuracy.

Traditional Software and Generative AI

Traditional software normally follows predetermined rules. For example, a payroll system calculates salaries using defined formulas and approved employee information.

Generative AI responds more flexibly. It interprets the user’s instructions and generates content based on learned patterns. Different prompts—or even the same prompt submitted more than once—may produce different responses.

Common Workplace Applications

Generative AI can assist with:

• Drafting emails and letters
• Summarising reports and policies
• Developing meeting agendas
• Organising notes
• Creating presentation outlines
• Generating ideas
• Improving the clarity of written documents
• Producing checklists and work plans
• Comparing information
• Preparing frequently asked questions
• Creating first drafts of routine content

AI as an Assistant, Not the Final Decision-Maker

Generative AI should generally be treated as a capable but fallible assistant. It may help you produce a first draft or organise your thinking, but the user remains responsible for reviewing and approving the final output.

Human judgement is particularly important when work involves:

• Legal or regulatory obligations
• Financial decisions
• Recruitment and employee management
• Health and safety
• Personal or confidential information
• Academic assessment
• Public communication
• Strategic organisational decisions

Workplace Example

A manager asks an AI tool to draft a staff communication about a new attendance policy. The tool produces a clear message within seconds.

Before sending it, the manager must still:

1. Check that the policy details are correct.
2. Confirm the effective date.
3. Remove any inaccurate assumptions.
4. Ensure the tone is appropriate.
5. Confirm compliance with organisational procedures.
6. Approve the final message personally.

The AI has accelerated the drafting process, but accountability remains with the manager.

Key Principle

AI can generate content, but it does not assume responsibility for how that content is used.

Reflection Question

Think about your current work. Identify one routine task that AI could help you complete more efficiently.

Before using AI for that task, ask:

• Does the task involve confidential or personal information?
• Would the output require verification?
• Who remains responsible for the final result?
• Does my organisation permit AI to be used for this purpose?

Record your answer for use later in your personal AI workplace action plan.