To better serve our societies, newsrooms need – and most times want – to do better on diversity and inclusion, both in terms of who works in news organisations and in what/how they report on the world. In the context of the Collab, the team is exploring how AI might be a resource for news organisations and the industry as a whole. The team is looking at this challenge in three different steps:
1. They are looking into where and how bias might manifest itself in newsrooms, focusing primarily on gender, racial and age bias.
2. They are exploring how AI might help identify bias, through experimenting with AI solutions that will help generate insights about binary gender representations.
3. And they are researching how AI tools and insights can practically contribute to newsroom diversity and inclusion goals.
The team will share their learnings through a website where they will also showcase the results of their practical AI experiments with assessing the gender representations of their respective news sites. They are approaching AI as a potential force for good in the media industry and trying to highlight how the same technologies people are scared of, might be used for good.
- Agnes Stenbom, Responsible Data & AI Specialist, Schibsted (Sweden)
- Aurore Malval, Digital Reporter, Nice-Matin (France)
- Delfina Arambillet, Data Journalist, La Nación (Argentina)
- Flor Coelho, New Media Research & Training Manager, La Nación (Argentina)
- Issei Mori, Computer Science Intern, Nikkei (Japan)
- Jane Barrett, Global Editor for Media News Strategy, Reuters (UK)
- Michaëla Cancela-Kieffer, Deputy News Editor, AFP (France)
- Paul Gallagher, Executive Editor, Digital Development, Reach plc (UK)
- Ruth Kühn, Senior Technology Manager, Deutsche Welle (Germany)
- Yosuke Suzuki, General Manager, Digital Business Development, Nikkei (Japan)