JournalismAI is a global initiative that empowers news organisations to use artificial intelligence responsibly.
We support innovation and capacity-building in news organisations to make the potential of AI more accessible and to counter inequalities in the global news media around AI.
JournalismAI launched in 2019 to inform media organisations about the opportunities offered by AI-powered technologies and to foster debate about the editorial, ethical, and financial implications of using AI in journalism.
Our programmes bring together journalists and media professionals to explain and examine artificial intelligence and to explore how a responsible use of AI can contribute to building more sustainable, inclusive, and independent journalism in all parts of the world.
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Our programmes and activities
RESEARCH
In our second JournalismAI global survey, titled , more than 120 editors, journalists, technologies and mediamakers from 105 small and large newsrooms across 46 countries shared their learnings on the use of AI and generative AI. The report addresses the quality and sustainability of journalism.
This new report builds upon our first, published in November 2019, titled . This report suggested that AI is giving journalists significant new powers, but with those come editorial and ethical responsibilities. We continue to research specific issues related to journalism and AI and have created a knowledge hub of case studies, analysis and research.
TRAINING
We produce training resources including the and two on machine learning for journalists. In 2021, we also hosted the first-ever , a programme to help small newsrooms leverage the power of artificial intelligence.
COLLABORATION
We coordinate collaborative initiatives that bring together journalists and media professionals from around the world to imagine new AI-powered journalistic solutions. Check out the six projects of the 2023 , and the 10 projects of the . And stay tuned for updates on the .
EVENTS
Every year in December, we host the , which features conversations and case studies that explore the intersection of journalism and artificial intelligence. Watch the videos of the , , and editions on YouTube.
REPORTING
On the Polis blog, you can find articles, interviews, and featuring a variety of experts in the field of AI and media. This includes a that put the spotlight on the creative careers of women working with AI in newsrooms across the globe.
WORKSHOPS
Our team is always available to give presentations and host workshops on AI in journalism at public events or privately to newsrooms, journalism organisations and universities. We have already brought JournalismAI on the road 60+ times and you can check some video recordings .
COMMUNITY
All of the above is possible thanks to a thriving global community of more than 10,000+ journalists and media professionals. and to join the community!
Prof Charlie Beckett
Director of JournalismAI
Charlie Beckett is a professor in the Department of Media and Communications at ÐÓ°ÉÂÛ̳ and the founding director of Polis, the ÐÓ°ÉÂÛ̳'s think-tank for research and debate around international journalism and society. Polis runs events for journalists and the public as well as a programme of fellowships and research. It has a Summer School, holds conferences and publishes reports. Charlie is leading the JournalismAI project and was Lead Commissioner for the ÐÓ°ÉÂÛ̳ Truth, Trust & Technology Commission (T3). As well as being spokesperson for Polis, Media Policy Project and T3, and a regular blogger, Charlie Beckett is a regular commentator on journalism and politics for the UK and International media.
Charlie is the author of SuperMedia: Saving Journalism So It Can Save The World (Blackwell, 2008) and WikiLeaks: News In The Networked Era (Polity, 2012). He also published research on journalism and emotions, journalism and Artificial Intelligence, and reporting on terrorism.
Prior to joining ÐÓ°ÉÂÛ̳, Charlie was a programme editor at ITN's Channel 4 News. Before that he was a senior producer and programme editor at BBC News and Current affairs for ten years. He started his career on local newspapers in his native South London before starting in TV at LWT.
Charlie specialises in how journalism around the world is changing and its relationship to society and politics.
Tshepo Tshabalala
JournalismAI Manager & Team Lead
Tshepo Tshabalala is the project manager and team lead of the JournalismAI initiative.
Prior to joining Polis and JournalismAI, Tshepo was Project Coordinator at the Journalism and Media Lab (Jamlab Africa), a project of the Wits Center for Journalism at Wits University. Before that he worked as a journalist at various publications including Business Day Wanted, BusinessLive, Forbes Africa and Thomson Reuters.
He holds a Master of Arts in Journalism from Stellenbosch University; a Master of Arts in Philosophy, Politics and Economics from University of York; a Bachelor of Arts (Honours) in Journalism and Media Studies. Tshepo is a Chevening Scholar and an EVA Junior Business Fellow.
Tshepo is based in London, UK. His pronouns are he/him.
Lakshmi Sivadas
Programme Manager & Engagement Lead
Lakshmi Sivadas is a programme manager and engagement lead at JournalismAI. She is responsible for the JournalismAI Fellowship Programme.
Lakshmi also works as the marketing and communications manager for the News Product Alliance. She’s a graduate of the Craig Newmark Graduate School of Journalism at CUNY and has previously been a reporter and an assistant producer for NDTV and CNBC in India.
She is based in Bangalore, India. Lakshmi's pronouns are she/her.
Sabrina Argoub
Programme Manager
Sabrina Argoub is the programme manager of the AI Academy for Small Newsrooms.
Before joining JournalismAI, Sabrina worked at The Correspondent as Production editor, where she coordinated and overviewed the editorial team and curated the platform live events. She is a graduate of the Political Communication and Journalism programme at the University of Amsterdam.
She comes from a Moroccan family and is based in Berlin, Germany. Sabrina's pronouns are she/her.
JournalismAI is a project of – the journalism think-tank at the London School of Economics and Political Science – and it's supported by the .