AI for Radio - Introduction, Ethics, Policy, Audit, Tools and Application.

Course Aims

How can radio stations integrate Artificial Intelligence (AI) competently and confidently? This new Learning Waves CPD accredited course has been designed to provide radio professionals with the foundational knowledge of AI along with practical skills leading to improved productivity, enhanced creativity, and better team and client collaboration. Delivered by industry experts, graduates of the course will have developed an AI use-case study relevant to their work.

Course Content

Learning Outcomes

  • What is AI and understanding basic concepts of AI
  • How is AI affecting the radio sector now and into the future?
  • The principles of ethical AI in media
  • How to develop an AI use policy for your station
  • The implications of AI and data management
  • Understanding and learning the skills of prompt engineering
  • Practical application of AI tools suitable for all radio professionals
  • Bringing AI into your radio role ​

Module 1 - Introduction to AI

In this module you will learn about:

  • What is AI and why has its evolution in recent years been so transformative?
  • What are Ireland’s plans for AI and how does that affect the media industry?
  • The significant impact this technology is and will have on all sectors of society, especially media.
  • How the technology works, how it differs from human intelligence, and the basic concepts of AI. 

Module 2 - Policy, Ethics and Data Management

In this module you will learn about:

  • Why the ethical use of AI should be the cornerstone for its introduction into radio
  • How ethics, data management and developing an AI policy provides a solid foundation for introducing the technology more seamlessly
  • Why having an ethical approach builds trust internally in stations, but also maintains the trust of your listeners, clients and stakeholders. Students will be provided with 
  • How-to guides in this module which you can apply to their station.

Module 3 - AI Audit

In this module you will learn about:

  • Why AI should only be introduced into areas of radio where it adds value and makes an impact
  • How to undertake an audit of your organisation 
  • Understanding areas where AI will benefit from a productivity, creativity and collaborative perspective
  • Working in teams to discuss how AI for radio can positively impact your work
  • Using the Task–Problem–Solution (TPS) framework to understand how AI can enhance your profession. This approach will encourage critical thinking, problem-solving, and ethical considerations

Module 4 - AI Prompt Engineering

In this module you will learn about:

  • The new skill of AI prompt engineering 
  • How AI output is only as good as the prompt youi input. 
  • The fundamentals of Generative AI (Gen AI) and how Large Language Models (LLMs) operate from prompts. 
  • Practicing prompt engineering and better understand how it can be applied across multiple AI tools. 
  • Working in teams to optimise prompts using radio-specific scenarios to create and solve problems.

Module 5 and 6 - Building your AI Use case Studies - Practical Tools and Applications

This module will be delivered over 2 sessions.  In this module you will learn about:

The range of AI platforms and apps including ChatGPT, Gemini, Claude, Adobe, Perplexity, Co-Pilot and more. The suite of tools taught will cover these elements of radio:

  • Copywriting and creativity
  • Mobile journalism (MoJo) and video production 
  • Audio production
  • Content repurposing
  • Administration
  • Data management, analysis and reporting

Module 7 - Assignment and Practical Application

In this module you will be required to:

  • Prepare an AI use-case for your role
  • Identify where AI can add value to your work.

Module 8 - Assignment Preparation

Details to be confirmed

Trainers

Joanne Sweeney, Digital Training Institute

Glen Mulcahy, Titanium Media

Aphra Kerr, UCD

Who is this content for?

This course is aimed at all those working in the Independent Radio Sector looking to develop and enhance their AI skills. 

Training Method

This course will be delivered online via Zoom. Course dates:

27th May 2025 - 10am to 12.30pm

3rd June - 2pm to 4.30pm

11th June - 2pm to 4.30pm

17th June - 2pm to 4.30pm

24th June - 2pm to 4.30pm

1st July - 2pm to 4.30pm

8th July - 2pm to 4.30pm