
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 | March 2019
Innovation and technology continue to accelerate change in every area of society, especially in energy. This creates unprecedented opportunities to do more with less – and with greater impact. It’s also creating new and evolving forms of risk and liability. Simply staying informed of these emergent trends, let alone effectively managing them, can be challenging.
In this series of articles, our Canadian energy team highlights and explores the range of social, regulatory, technological and other legal issues related to recent developments in energy, and what they mean, to help you navigate an increasingly turbulent environment.
We welcome your feedback and questions throughout the series as our topics will evolve and be based not only on legal developments, but also on what our clients encounter in their ever-challenging environments. This series will be iterative, meaning topics may be addressed several times in order to help stay ahead of the waves of change and disruption.
To provide comments or questions, contact Alison Babbitt, Norton Rose Fulbright Canada.
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Opportunity is knocking: bringing hydrogen into the mix A growing body of evidence indicates that more frequent extreme weather events are linked to climate change, and these disruptions have become a key issue for both government and business leaders. March 2019 |
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It’s 10 pm on the climate conduct and compliance clock. Do you know where your risk strategy is? |
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Change is exciting and drives innovation. But with it comes complexity and uncertainty. |
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.
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