Results in Brief

This factsheet provides insights from the "Navigating Interdisciplinarity" workshop held at the 4th AI Community Workshop in Thessaloniki in June 2024. The session explored the critical role of interdisciplinarity in conducting responsible AI research. From a multidisciplinary perspective, the workshop aimed to gather best practices and identify steps to enhance interdisciplinarity in AI research.

This booklet illustrates AI4Media contributions in AI for multimedia content production and analysis, pushing the boundaries of deep learning and media applications.

This booklet showcases the highlights of four years’ work towards research and development in Trustworthy AI. The relevant work package developed new techniques and algorithms for the application of trustworthy AI for media industry use cases, across four key pillars of interest: (i) adversarial robustness (covering novel attacks and defences for evasion and data poisoning, and certifying and verifying the robustness of AI models), (ii) explainability and interpretability (including assessing the explainability of multi-modal deep-fake detection classifiers), (iii) privacy and security (where privacy and security is preserved on the training data of AI models), and, (iv) fairness (concerning the detection and mitigation of bias in AI models across a variety of data modes and types of AI models).

This booklet illustrates AI4Media contributions in investigating new learning paradigms tailored to media content and applications, which are pushing the borders of the state of the art in deep learning.

The booklet showcases AI4Media's contributions to understanding the impact of artificial intelligence on both society as a whole and on individual users. These contributions are essential due to the widespread deployment and growing significance of AI technologies in everyday applications. More information on these and other research outcomes of WP6 "Human- and Society-centred AI" can be found in relevant public deliverables available in the public reports.

Find out more about a Centre of Excellence delivering next generation AI Research and Training at the service of Media, Society and Democraacy.

This report highlights the evolving landscape of Social Sciences and Humanities (SSH) research with the integration of generative AI, underscoring the importance of critical inquiry, interdisciplinary collaboration and responsible use of AI tools in shaping the future of academic research.

This booklet presents the success stories of AI4Media's Open Call #2, which aimed to engage research and industry actors that develop and integrate research in the field of AI to contribute to the enrichment of the pool of technological tools of the AI4Media platform. Find out the testimonial of the 10 selected Open Call #2 winners.

This booklet introduces the work of AI4Media with the purpose of bridging the gap between research and practical application by showcasing how innovative AI techniques can address media industry challenges. Highlighting speculative scenarios from collaborative workshops, the booklet serves as a source of inspiration for media professionals and researchers. These scenarios explore future applications of AI, illustrating the potential to transform the media landscape through advanced technologies developed within the AI4Media network.

The University of Amsterdam together with KU Leuven organised a workshop at the AI, Media and Democracy Lab in Amsterdam, which is an interdisciplinary research centre focusing on the implications of AI for media and democracy. The workshop focused on the question of ‘What policies do you need to build a better future for AI and media?’ The workshop included the members from the lab who are researchers in the fields of law, social science, journalism and data science. The workshop was aimed at qualifying the Pilot Policy Recommendations produced by AI4Media.

This report provides insights into the common challenges faced by industry actors using AI in content moderation. It is based on an online workshop organised in February 2023 with nine industry actors representing both small and large organisations based in Europe. The findings from the workshop have also previously informed the ‘Report on Policy for Content Moderation’.

This report provides insights into the current challenges, potentials and good practices for measuring the success of recommender systems for media. It is based on an online workshop organised in April 2022 with six commercial and public service media organisations from Europe.

During the 9th General Assembly in the AI4Media consortium, the University of Amsterdam together with KU Leuven organised a workshop focusing on the question of ‘What policies do you need to build a better future for AI and media?’ The workshop included participants from partner organisations in the consortium present in Pisa, including several technical experts and industry partners. The workshop was aimed at qualifying the Pilot Policy Recommendations produced by AI4Media.

The European AI Media Observatory is a knowledge platform that monitors and curates relevant content on AI in media, provides expert perspectives on the potentials and challenges that AI poses for the media sector and allows stakeholders to easily get in touch with relevant experts in the field via our expert directory.

This factsheet provides insights into the needed policies for a responsible future of AI and journalism. During the Joint Computation + Journalism European Data & Computational Journalism Conference 2023 AI4Media organised a workshop focusing on the question of ‘What policies do you need to build a better future for AI and Journalism?’

This flyer provides an overview on the work developed for a Centre of Excellence delivering next generation AI Research and Training at the service of Media, Society and Democracy.

This factsheet provides insights into the current challenges, potentials and good practices for implementing and using artificial intelligence (AI) in audiovisual archives in the Balkan and Mediterranean region, which previously has been less explored in AI4Media research. It is based on a workshop organised in March 2023 with seven audiovisual archives from the region.

This booklet presents the success stories of AI4Media's Open Call #1, which aimed to engage research and industry actors that develop and integrate research in the field of AI to contribute to the enrichment of the pool of technological tools of the AI4Media platform. Find out the testimonial of the 10 selected Open Call #1 winners.

This factsheet is a summary of the Report on Policy for Content Moderation and presents an overview of the EU policy initiatives on content moderation as well as alternative approaches to content moderation by online platforms and civil society.

This document is an excerpt of the AI4Media Strategic Research Agenda on AI for the Media Industry.

This booklet presents the testimonials of 20 Junior Fellows that took part in the program during 2021 and 2022, discussing the research projects they worked on, the experiences and knowledge they have gained, their assessment of the opportunities offered by the program, and their advice and recommendations to young AI researchers who are thinking about a potential exchange.

This factsheet presents six societal concerns of AI applications that affect or impact the media industry and presents core points of consideration for the media industry, policy makers and AI researchers who engage with the media sector.
The information derived from the research conducted for the "initial white paper on the social economic and political impact of media AI technologies".

This factsheet presents the main results from the public survey that AI4Media run from December 2021 to January 2022 with the objective to collect:
- Opinions on the benefits, risks, technological trends and challenges of AI use in the media industry;

- Experiences on AI strategies and AI skills in media organisations;

- Insights on the most promising ways to facilitate AI adoption and knowledge transfer;

- Perceptions about ethical use of AI.

Check out the main results!