
Publication
Training AI models and copyrighted materials
For the first time, a US court has found that copyright was infringed by copying works for the purpose of training an AI legal research tool.
Global | Publication | June 2016
In this, our eleventh issue of Cultivate, we focus on the Australian food and agribusiness sector, an industry which feeds approximately 60 million people worldwide. Our focus includes an interview with Geoff Honey, CEO of Grain Trade Australia about the role of Australia’s grain industry in global and particularly Asian food security. We also explore the impact of COP 21 and the Paris agreement by reviewing Australia’s mitigation efforts towards climate change, and take a look at the likely impact of the Australian Government’s recent Agricultural Competitiveness White Paper. Finally, as the Australian government looks to strengthen the agricultural sector in its region, we review the new foreign investment regime and how it seeks to establish stronger competition in agricultural supply chains.
Beyond Australia we shine a spotlight on a range of topics from the consultation on a proposed “Sugar Tax” in the UK and workplace legislation affecting farmers in Canada to the tensions between the EU’s Common Agricultural Policy and its competition law policy. We also examine the challenges facing French agriculture industry and investigate how opportunities for farmers in the US significantly expand the quinoa production, an increasingly popular food which has traditionally been grown principally in South America.
Publication
For the first time, a US court has found that copyright was infringed by copying works for the purpose of training an AI legal research tool.
Publication
Federally regulated employers may soon be required to review and possibly raise pay rates for part-time, seasonal or casual workers under new “Equal Treatment” wage rules.
Publication
Developing high-performance generative AI systems and other AI systems based on machine learning often requires access to vast amounts of data for training (AI training data) and improving their accuracy and performance, and data scraping is an approach that is taken to generate large enough data sets.
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