Publication
Agri-tech developments in the cannabis sector
The cannabis sector is a growing and exciting sector.
Innovation and technology
Global | Publication | October 2020
Current farming methods are not sufficient to feed the world’s growing population. Investment in new agricultural innovation and technology is necessary if we are going to find a way to feed the world’s estimated nine billion people by 2050. Many Food and Agribusiness companies have already started to invest in agriculture technology in an attempt to bridge the gap between supply and demand. As with any accelerating technology sector, the market is constantly changing and adapting. We have extensive knowledge in all aspects of the agri-technology sector and are able to advise clients on a broad range of issues, from innovative global protection to adoption and distribution in an ever-changing global marketplace. In this section, we explore the diverse aspects of agri-technology innovation pathways and its challenges for adoption and success.
Thought leadership
Publication
Innovation in sustainable agricultural practices
Climate change is a critical and emotionally-charged issue.
Publication
Climate change and the food and agribusiness sectors: adaptation, mitigation and innovation
The recent Intergovernmental Panel on Climate Change (IPCC) Report on the Impacts of Global Warming warned that the world is already seeing the consequences of global warming of 1°C, with more frequent and extreme weather, rising sea levels, diminishing Arctic sea ice, ocean acidification, land degradation and desertification, among other changes.
Senior Advisor
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keira.brennan@nortonrosefulbright.com
Head of Amsterdam
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saskia.blokland@nortonrosefulbright.com
Partner, Norton Rose Fulbright US Consultores em Direito Estrangeiro
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charles.johnson@nortonrosefulbright.com
Director: Global Head of Consumer Markets
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rosalind.lake@nortonrosefulbright.com
Recent publications
Publication
Two US decisions find that reproducing works to train large language models is fair use – Part 2: Kadrey v Meta
In Part 1 of this series on fair use in training large language models (LLMs), we discussed Judge Alsup’s decision of Bartz v Anthropic, which found that copying books to train an LLM was fair use, but using pirated books to create a central library was not.
Publication
The AMF proposes a framework for using AI in financial services: obligations for financial institutions
According to a joint report by the Office of the Superintendent of Financial Institutions and the Financial Consumer Agency of Canada, some 70% of federal financial institutions expect to be using AI by 2026.
Publication
Two US decisions find that reproducing works to train large language models is fair use – Part 1: Bartz v Anthropic
Two recent judgments – decided just days apart – from different judges of the Northern District of California District Court determined that using copyrighted books to train large language models (LLMs) was fair use.
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