Artificial Intelligence and Creative Work: A Statement

CRA members welcome new and innovative technologies, such as AI, that enable human creators to produce inspiring work that benefits both the businesses and the audiences who enjoy it. However, we are concerned this current generative AI technology is accelerating and being implemented at pace, without enough consideration of issues around ethics, accountability, and economics for creative human endeavour. 

It is important that policy makers and developers ensure that any implementation of Artificial Intelligence (AI) and the use of Machine Learning (ML) acknowledges the huge contribution our creators make to our creative and financial economy as well as our cultural wellbeing and in doing so provide them with robust protections.

We need to ensure that the growth of AI complements and does not damage the value of our world-leading creative industries. Creator individuals and businesses contribute £146 billion a year to the UK’s economy. Creative freelancers (those self-employed) also make up a third of our industry - take them away and there is a huge creative and economic gap that a few image-mining engines will not be able to replace. 
Without levelling up the financial incentives and maintaining (and where necessary strengthening) clear legal frameworks, that both incentivises and protects professional human creativity, we are at risk of losing our existing creative individuals and limiting those who can access a career in this sector, and so contribute to our economy. 
There will be no willingness to invest in developing skills and careers, if others can simply use this investment, free of charge and attribution, to ‘create’ products that they can sell to consumers as their own. By limiting access and the diversity of voices to the synthetic, we are in danger of falling into a world of mimicry, where individual styles and voices are copied to provide a ‘style of’ instead of an authentic ‘voice of’.

Copyright-protected works including performances, images, music, and the written word are already being illicitly accessed and used without the rights holders’ permission. Huge datasets of illegally scraped image content used for AI-generating content programs has prompted Getty Images to take legal actions against the ‘scraping’ of images for data from their website. It is well known that ChatGPT has unlawfully accessed copies of books, some of which are illegal in themselves, to add to its algorithms and there are numerous reports of synthesised voice programmes mimicking performers.  

We need to ensure that creators have agency over and be remunerated for any uses of their work.

We should avoid Text and Data Mining exceptions which would unfairly legitimise this practice, when there is already an existing licencing framework that enables works to be accessed, within the law and with fair renumeration. 
Attribution is essential to trust. If words, images, and other works generated by machine-learning systems circulate without being declared as such, the world faces a bleak future in which authoritarian populists can convince others that “nothing is true”. This will have a huge impact if individuals begin to lose trust in news reporting or academic research. Artistic creative works must also be clearly distinguished from AI pastiches. 

We believe there is an urgent need for legislation to provide that when AI outputs are published or made available to the public they must be labelled as such.

The corollary of this is that the need to give attribution to human authors is increased, to give the consumer a “guarantee” from a fellow human. The advent of the internet showed how essential are the “moral rights” of authors to be credited and to defend the integrity of our work: AI makes them foundational. Machine-learning outputs should reference the works from which they are derived.
We join the many technical and business voices from across the world, including those signatories of the Future of Life Institute open letter calling for a six-month ‘pause’ to enable us to ensure AI systems are more “accurate, safe, interpretable, transparent, robust, aligned, trustworthy, and loyal”. We also agree that there is a need to “dramatically accelerate development of robust AI governance systems”. 

We are collectively calling for:

Members who supported this Statement:

Association of British Science Writers (ABSW)

Association of Illustrators (AOI)

Association of Photographers (AOP)

Association of Authors’ Agents (AAA)

Authors' Licensing and Collecting Society (ALCS)

British Association of Picture Libraries and Agencies (BAPLA)

British Equity Collecting Society (BECS)

Chartered Institute of Journalists (CIJ)

DACS (Design and Artists Copyright Society)

Directors UK

Equity

Featured Artists Coalition (FAC)

Independent Society of Musicians (ISM)

Music Managers Forum (MMF)

Musicians Union (MU)

National Union of Journalists (NUJ)

Picture Industry Collecting Society for Effective Licensing (PICSEL)

Royal Photographic Society (RPS)

Society of Artists’ Agents (SAA)

Society of Authors (SOA)

The Ivors Academy

The Royal Society of Literature (RSL)

Writers Guild of Great Britain (WGGB)