3.11b How are changes in the landscape of film and TV content influencing their social, behavioural and cultural impacts?
Background
Alongside the ARIs that cut across all of the Creative Industries and AI policy portfolio’s policy area, DCMS is keen to engage on specific questions facing particular sub-sectors. In the case of film and high-end TV, these centre on the impact of AI and the question of how best to capture the non-economic impacts of the sub-sector in this fast-changing context.
Next steps
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Topics
Related UKRI funded projects
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Shared Post-Human Imagination: Human-AI Collaboration in Media Creation
The rapid advancements in AI and ML have revolutionized the media landscape, opening new possibilities for content creation. Generative AI tools (GAIT) for creation and manipulation of text, image and sound such as ChatG...
Funded by: AHRC
Lead research organisation: Bournemouth University
Why might this be relevant?
The project specifically addresses the impact of AI on media production and explores the non-economic impacts of the sub-sector.
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The Hidden Screen Industries
This is a proposal to establish an AHRC funded research network to develop a new framework for studying the UK's screen industries which includes sectors under-represented in scholarship and policy. The project will cont...
Funded by: AHRC
Lead research organisation: University of West London
Why might this be relevant?
The project focuses on hidden screen industries, which may have some relevance to the question but does not fully address the impact of AI on media production.
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Digital Entertainment Brand
The film, television, and TV advertising industries are currently facing a significant crisis due to a substantial decline in the production of TV dramas, non-scripted TV, and TV commercials throughout 2023 and the first...
Funded by: Innovate UK
Lead research organisation: UK LOCATIONS MANAGEMENT AGENCY LIMITED
Why might this be relevant?
The project addresses the decline in traditional TV production and the rise of social media entertainment, which is partially relevant to the question but does not fully address the impact of AI on media production.