
Publication
Infringement risk relating to creation and use of the output of a generative AI system
Where the Output of a generative AI system is the same or substantially similar to a third party’s copyright work
Global | Publication | January 2019
M&A activity in the energy sector will be driven in part by the transition to lower carbon energy sources as investors seek to future-proof their businesses or satisfy environmental, social and governance requirements. Growing activity is expected in the renewable heating and transport fuel sectors, as these sectors become the focus of policy interventions.
Norton Rose Fulbright advised ABN Amro, BP, Gunvor, ING, Koch Supply & Trading, Mercuria, Shell, Société Générale and Equinor in a corporate joint venture for the purpose of developing a commodities trading platform using distributed ledger technology. By managing physical energy transactions on a distributed ledger, the joint venture (now known at Vakt) aims to create a secure, trusted ecosystem for counterparty interaction, with anticipated gains in cybersecurity, operational efficiency and trade finance.
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Publication
Where the Output of a generative AI system is the same or substantially similar to a third party’s copyright work
Publication
The approach and requirements for intellectual property rights to subsist in computer-generated works vary from jurisdiction to jurisdiction.
Publication
Generative AI systems are trained using vast amounts of data, often taken from sources in the public domain that may be protected by copyright or other intellectual property rights, such as, in the UK and EU, a database right.
Subscribe and stay up to date with the latest legal news, information and events . . .
© Norton Rose Fulbright LLP 2025