JournalismAI Discovery

Learn about the key principles of artificial intelligence in journalism in this FREE online course.

The course is designed for journalists, editors, product managers, and newsroom people – but everyone in and around journalism is welcome to take the course.

There will be no complicated maths or programming involved. JournalismAI Discovery is the perfect first step if you are a complete beginner, and a helpful refresher course if you’re familiar with the principles.

Delivered weekly to your inbox, the course consists of 6 modules and combines resources for individual study, with a collaborative learning environment. Make sure to read the FAQs to find out more.

JournalismAI Discovery has been developed by investigative journalist and AI expert Brandon Roberts. Brandon has been researching and applying AI techniques to investigative journalism since 2013. His work has led him to collaborate on investigative projects with newsrooms internationally, and present machine learning tools and research at conferences.

Why JournalismAI Discovery?

We are passionate about making the potential of AI more accessible, countering the inequalities in the global news media around the subject.

We wanted to create a free course to help empower individuals and groups to educate themselves on the opportunities AI presents.

Learn how to…

  • Describe what AI technologies are, what they can and can't do, and the impact they could have on journalism.

  • Understand the opportunities that AI can offer your newsroom, and the risks that come with its adoption.

  • Start your AI-journalism project and prepare for any challenges that may arise, so that you can succeed.

Learn for free

Discover what AI
can do for you

Gain new
perspectives

Receive a final certificate

Course schedule for 2023

  • AI is already here, being used all over the journalism industry for news gathering, production and distribution.We'll walk through the various ways that newsrooms use AI for specific tasks like improving reader retention, supporting investigative work and identifying breaking, to name a few.

  • Some people joke that AI is "cool things that computers can’t do." We at JournalismAI define AI to mean: a collection of ideas, technologies, and techniques that relate to a computer system’s capacity to perform tasks that normally require human intelligence. In the first module, we'll talk about what AI is—and isn't—and what it means to be a journalist in the age of AI.

  • As journalists, we can think about data as the mechanism by which accountability is attained. Technologically, data plays a major role in which algorithms can be used and even whether or not your problem can be solved with AI. In our course, we'll explore the importance of data and its influence on the possibilities, limits and outcomes of AI-journalism projects.

  • AI projects can be complicated and preparation pays off big. In this module, we’re going to put the pieces we’ve covered thus far together and talk about how to get started with an AI-journalism project. Like many things in journalism, AI tends to be a team sport. We’ll also talk about building upon others' work and finding suitable partners for collaboration.

  • Even the best planned projects run into difficulties. In this module, we’re going to go over some of the common failure paths and how to best avoid them. We’ll also discuss best practices and share some of the ingredients that have made previous successful journalism AI projects. We’ll draw on the wealth of experience gained from our 2021 Collab Challenges as well as from newsrooms, large and small.

  • The world of AI moves fast. Even veteran practitioners can find it difficult to stay current. In this final module, we’re going to take the time to review recent changes in AI technology and cover what trends may be relevant to journalism. We’ll also discuss resources you can use to leap forward from the stepping stone that is this course.

Testimonials

Undral Amarsaikhan, CEO, TenGer TV, Mongolia

This is one of the most efficient and effective courses I have ever taken part in. Getting complicated yet comprehensive sets of knowledge on your inbox is a really comfortable way to digest new frontiers like AI.

Corina Lingscheidt, Manager, MM New Media GmbH, Germany

…The weekly emails are stuffed with easy to understand facts and examples about the use of AI and algorithms in newsrooms… Learning is real fun in such formats.