Use cases for Generative AI

1 Introduction

ChatGPT 4 generated image prompt: ‘Draw an image that can be used in course materials that explores GenAI use cases’

This course explores use cases for GenAI – depending on your time commitments, you may choose to study the course in separate parts, as shown below.

Course sessions

The sessions are:

  • Session 1: Introduces general use cases for GenAI – 90 minutes (Sections 1, 2, 3 and 4).

  • Session 2: Focuses on how AI solutions are being applied within the advice and legal sectors – 90 minutes (Sections 5, 6, 7 and 8).

You can work through both sections in order or, depending on your role and interests, you might prefer to focus on just one.

This is a self-paced course of around 150–180 minutes including a short quiz.

A digital badge and a course certificate are awarded upon completion. To receive these, you must complete all sections of the course and pass the course quiz.

Activity icon An introduction to the course

Timing: Allow 2 minutes

Listen to this audio clip in which Francine Ryan provides an introduction to the course.

An image of Francine Ryan.
Download this audio clip.Audio player: course_4_intro.mp3
Copy this transcript to the clipboard
Print this transcript
Show transcript|Hide transcript

Transcript

FRANCINE RYAN:
Welcome to course four, Use cases for Generative AI. This course explores use cases for Generative AI. The first part considers general use cases and the second part highlights some examples of where AI solutions are being applied in the advice and legal sector. There is growing interest in how organisations can harness GenAI to gain competitive advantage. Large Language Models (LLMs), in particular, present significant opportunities to enhance productivity and streamline repetitive tasks. By automating routine processes, LLMs have the potential to free up capacity and allow teams to focus on higher-value work. LLMs are not infallible – they can produce errors, and their outputs still require human oversight. Moreover, there is a risk that over-reliance on these tools could lead to de-skilling within organisations. As such, while GenAI presents exciting possibilities, its integration must be approached thoughtfully and strategically. We really hope you enjoy this course.
End transcript
Download
 
Interactive feature not available in single page view (see it in standard view).

You can make notes in the box below.

To use this interactive functionality a free OU account is required. Sign in or register.
Interactive feature not available in single page view (see it in standard view).

Discussion

LLMs present opportunities to enhance productivity and streamline repetitive tasks, as well as freeing up capacity and allowing teams to focus on higher-value work. But they can also produce errors, their outputs require human oversight, and these tools could lead to de-skilling within organisations. As such, AI's integration must be approached thoughtfully and strategically.

Scaling a mountain icon Learning outcomes

 

After completing this course, you will be able to:

 

  • Identify common use cases for GenAI and reflect on how these applications might be relevant to your own work or organisation.

  • Evaluate how AI technologies are being implemented within the advice and legal sectors.

  • Understand and apply a strategic framework for the adoption of AI tools.

  • Understand the ADKAR model of change management and how to apply it in your organisation.

 

Glossary icon Glossary

 

A glossary  that covers all eight courses in this series is always available to you in the course menu on the left-hand side of this webpage.

Session 1: Introduces general use cases for GenAI – 90 minutes