Roadmap on AI technologies and applications for the Media Industry
The Roadmap on AI technologies and applications for the Media aims to provide a detailed overview of the complex landscape of AI for the media industry.
This Roadmap:
- >> analyses the current status of AI technologies and applications for the media industry;
- >> highlights existing and future opportunities for AI to transform media workflows, assist media professionals and enhance the user experience in different industry sectors;
- >> offers useful examples of how AI technologies are expected to benefit the industry in the future, and
- >> discusses facilitators, challenges and risks for the wide adoption of AI by the media.
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This Roadmap has been developed as part of Deliverable 2.3 “AI technologies and applications in media: State of Play, Foresight, and Research Directions” of the AI4Media project.
The web version of this deliverable allows readers to easily go through the contents of the report and only read/download the subsections covering topics that are of interest to them. To this end, the report has been divided into different parts, roughly corresponding to its subsections, which can be directly downloaded as separate pdf files from this page by simply clicking on the relevant icon below.
Introduction
An introduction to the Roadmap, discussing what is AI, why we focus on AI for the media industry, what is the methodology adopted for the development of this Roadmap, and the topics covered by the Roadmap.
6 topics
6 topics
Overview of existing AI roadmaps, surveys and review papers
This overview of existing AI roadmaps, surveys and review papers presents the main findings and insights from a selection of roadmaps, surveys, review papers and opinion articles focusing on the trends, benefits, and challenges of the use of AI, aiming to provide a clear picture about the most transformative applications of AI in the media and entertainment industry but also of the most important current and future AI research trends that hold the potential for significant impact across the media industry value chain.
3 topics
3 topics
AI4Media survey on AI technologies and applications for the media industry
Analysis of the results of a large-scale online survey organised by AI4Media in December 2021 & January 2022, aiming to collect the opinions of the AI research community and media industry professionals with regard to the benefits, risks, technological trends, challenges and ethics of AI use in the media industry.
2 topics
2 topics
AI research & technologies: A glance into the future
Short white papers analysing selected AI technologies, including reinforcement learning, evolutionary learning, learning with scarce data, transformers, causal AI, AI at the edge, bioinspired learning and quantum computing for AI learning, aiming to offer a clear overview of the current status of each technology, the drivers and challenges for its development and adoption, and future trends and goals.
8 topics
8 topics
AI multimedia applications: A glance into the future
Short white papers analysing selected AI applications for multimedia analysis, including multimodal knowledge representation and retrieval, media summarisation, automatic content creation, affective analysis, NLP applications and content moderation, aiming to offer a clear overview of the current status of each technology, the drivers and challenges for its development and adoption, and future trends and goals.
6 topics
6 topics
Trustworthy AI: Future trends for robust, interpretable, privacy-preserving and fair AI
Short white papers focusing on four aspects of trustworthy AI (robustness, explainability, fairness and privacy) and examining the current status, applications, challenges, and future trends for trustworthy AI for the media industry.
4 topics
4 topics
AI data, benchmarks and open repositories: Towards AI democratization
Short white papers focusing on AI datasets and benchmark competitions and discussing current status, research challenges and future outlook, while also providing insights on the ethical and legal aspects that relate to this domain. The last white paper focuses on open repositories for AI algorithms and data as well as on the topic of integrated intelligence.
4 topics
4 topics
AI applications & solutions for the media sector: imagining the future of next-gen media
Short white papers focusing on the deployment of AI on different media industry sectors, including news/journalism, social media, film/TV, games, music and publishing. Additionally, short white papers also explore the use of AI to address critical global phenomena such as disinformation, to enhance online political debate, and to help the study of media itself in the form of AI-enabled social science tools.
10 topics
10 topics
Challenges, risks, and regulation frameworks for AI for the media industry
Two short white papers are included in this section. The first examines the ethical, societal, environmental and economic risks and concerns stemming from the adoption of AI in the media industry, including bias and discrimination, media (in)dependence, inequality in access, privacy, transparency, accountability, liability, labour displacement, misinformation as an institutional threat, and environmental impact. The second white paper provides a brief overview of existing EU policy and legal initiatives and their impact on future AI research for the media industry.
2 topics
EU policy and regulatory initiatives and their impact on future AI research for the media
2 topics
Forces shaping the future of AI for the media industry
Short reports discussing the forces that could shape the future of the use of AI in the media sector, focusing on legislation/regulation, the pandemic and its impact, and climate crisis.
3 topics
3 topics