Editorial Board

The Editorial Board is composed by the following individuals:

• Editor-in-chief: Anna Schjøtt Hansen, PhD Candidate at the University of Amsterdam
• Editorial oversight: Candela Bravo, European Project Consultant
• Editor: Frédéric Precioso, Professor at Universite Cote d'Azur
• Editor: Rasa Bocyte, Senior Advisor for Research Collaborations at The Netherlands Institute for Sound and Vision
• Editor: Noémie Krack, Researcher at the Centre for IT & IP Law at KU Leuven
• Editor: Lidia Dutkiewicz, Doctoral Researcher at the Centre for IT & IP Law at KU Leuven

Editorial process

• The editorial board convenes every first Thursday of the month and discusses the proposed content. You are welcome to propose content at any time between these meetings.
• At the meetings the content that will be featured on the observatory will be selected according to the editorial principles.
• In the month following the editorial meeting, the content will be ongoingly published.

Editorial principles

The AI Media Observatory publishes content that focuses on the impact of AI in the media sector. This could include but is not limited to, impacts of legislation changes, economic impacts in the sector (e.g., layoffs or investments), societal impacts (e.g., potentials of AI in battling misinformation) or social and ethical approaches to AI. 

This means that academic papers with a purely technical focus are not considered relevant, but technical perspectives presented in more digestible formats and with a focus on their impact in the sector are welcomed.

All submitted content should relate to one of the following five overarching topics:

• Policy & Legislation: Content that provides insights into new policies or legislation of AI that affect the media sector.
• Social & Ethical AI: Content that addresses different approaches or principles for how to achieve socially and ethically responsible AI solutions in the media sector. This could include questions of transparency, discrimination or explainability.
• Environmental impact: Content that addresses questions of the environmental impact of AI and possible solutions to improve the carbon footprint of AI in the media sector.
• Trends & technical innovation: Content that provides insights into new AI trends or technical innovations that might both positively or negatively impact the media sector.
• Societal impacts: Content that provides insights into both the positive and negative impacts of AI in society in the context of the media sector. This could, for example,  include the impact of generative AI in relation to trust in news or disinformation.

Submitters are welcome to propose content in different genres (e.g., reports, blog posts, news articles, commentaries etc.) and relating to different topics that abide by the general principle outlined above. 

The AI Media Media Observatory follows the guidelines stipulated by Better Images of AI.

To propose content to be featured on the observatory, please fill out the form.