Addressing AI Bias for Media Leaders: Strategic Insights and Practical Approaches

Overview

In an era where artificial intelligence is reshaping the landscape of media content and journalism, as a public media leader, you are faced with the pivotal responsibility of ensuring that AI-driven tools and systems uphold the values of accuracy, fairness, and inclusivity. This course is designed to empower you with the insight and strategies necessary to navigate and mitigate AI bias.

This Master Class will equip you with the knowledge to recognise bias and how bias arises in AI tools and systems. You will learn how to reduce bias throughout the AI lifecycle, gain insights into the resources required, and understand how to better support technical teams in these efforts.

Additionally, through discussions and exercises, you will have the opportunity to collaborate with peers to develop informed strategies for AI transformation.

Who is it for

Editors & journalists, Newsroom AI Leads
Media content producers; programme makers
Heads of Content, AI Leads

What you will learn

By the end of this session, participants will be able to:

Understand key concepts related to bias and fairness in AI, specifically in the context of journalism and content making.
Recognise how bias can manifest in AI systems at various stages, from data collection to algorithmic design.
Identify potential biases in AI use cases for journalism and gain practical insights to mitigate these biases

NB this is a non-technical course though some basic technical knowledge will be useful