Policy Recommendations

1
Amendments to current UK copyright law, aligning to the relevant provisions of the 2024 EU AI Act’s position on AI transparency and data labelling (Article 50), which includes the disclosure of any copyrighted training materials used by generative AI developers in the training of new and existing AI models.
2
New UK legislation to protect actors and voice actors against the storage and/or use of their data beyond the agreed scope of a given media project.
3
Set up a UK Generative AI Regulator for the Creative Industries, who would establish a sector-wide Code of Practice based on a collective licensing model to assist in the monitoring, regulation and governance of the UK media industry’s use of generative AI.
4
Establish a UK Generative AI Expert Council, formed of interdisciplinary experts in the fields of computer science, education, philosophy, law and media, who can be used for consultation by large technology companies seeking to integrate issues of AI ethics into their development of new and existing AI models.
5
The diversification of generative AI developers, particularly during hiring processes for trainers and technicians. Investigate the possibility of incentivising access schemes in education to achieve this.
6
Call on UK generative AI developers to consult with leading experts in disability and accessibility when developing, modelling and training new and existing generative AI models.
7
Call on the UK government to champion UK Higher Education and further education institutes to become leaders in educating filmmakers on how best to use generative AI tools in their craft, which would be aided by embedding experimentation with AI and responsible AI education into the national school curriculum.
8
Develop a scalable, sector-wide ethical standard on the use of generative AI in media production that imposes higher standards on large filmmaking and media projects with higher budgets.
9
Build public confidence and trust in generative AI filmmaking through thought leadership and media campaigns focused on positive narratives about generative AI.
10
Develop a sector-wide ‘Bias and Risk Matrix’ of different generative AI tools that can be updated continuously to enable UK filmmakers and media practitioners to make informed decisions about
generative AI.
11
Crowd source data labelling for Large Language Models to improve the quality of meta-data.
12
Establish an Ethical AI Accreditation Scheme, in line with BAFTA Albert, to assess the ethical and sustainable use of generative AI in UK-based film and media productions.