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Time to ACCCT: providing creative industries and AI developers with a copyright framework of access, control, consent, compensation and transparency

  • James Bennett
  • , John Collomosse
  • , Rebecca Gregory-Clarke
  • , Jack Jones
  • , Lynn Love
  • , Mark Lycett
  • , Will Saunders

Research output: Book/ReportOther report

Abstract

The brief for this report was to consider the technical and business challenges in developing a publicly available, machine-readable approach to consent that enables copyright holders to either consent or protect their work from text and data mining, whilst allowing AI companies to legally access data. The report sits outside of the TDM (Text and Data Mining) opt-in/opt out government review to provide creative thinking from stakeholders in the creative and technology sectors as to possible solutions. It does not endorse any of the options set out in the review. Instead, we considered what technologies might exist today and those that might emerge tomorrow to build a machine-readable model and examine what a model for wider implementation might involve. As we make clear, the technologies available now – or tomorrow – cannot stand alone, they will need support and change in regulation and in markets.
Original languageEnglish
Number of pages46
Publication statusPublished - 21 May 2025

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