Artificial Intelligence for Creative Workers: A TUC Manifesto

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The Trades Union Congress (TUC) has published a manifesto addressing the impact of artificial intelligence (AI) on creative workers (see Artificial Intelligence for Creative Workers: A TUC Manifesto). The manifesto outlines the values and proposals necessary to ensure that AI benefits all workers, particularly those in the creative and education sectors. The TUC advocates for the interests of all workers who generate intellectual property or use their likeness while at work, including writers, performers, and educators.
The manifesto emphasises several key values so that the technology benefits all:
To implement these values, the TUC proposes several measures. First, it proposes that machine-generated outputs should be clearly labelled, and that permission should be required for using human-generated materials in AI training. Second that workers should have the right to remove their content from training datasets, and safeguards should be in place to prevent unfair contractual terms. Third, that intellectual property rights should be upheld and protections increased, while new rights should protect against unauthorised use of likenesses.
The TUC also calls for: (i) the establishment of licensing and compensation mechanisms for data mining and AI training, ensuring workers are credited for their contributions (ii) Transparency from technology companies about their operations and data sources is crucial, along with accessible legal enforcement backed by strong sanctions (iii) International collaboration to prevent regulatory disparities and calls for the creation of an independent body to oversee AI deployment. Finally, it highlights the need for sector-specific AI training and support to help creative workers navigate the evolving technological landscape.
If you would like to discuss how current or future regulations impact what you do with AI, please contact Tom Whittaker, Brian Wong, Lucy Pegler, Martin Cook, Liz Smith or any other member in our Technology team.
This article was written by Alice Gillie.