
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.
Businesses face increasing pressure from their investors, customers, employees, regulators, and other stakeholders to promote their ESG goals in the transition to a more sustainable economy. Many businesses look to effect more impactful changes by addressing systemic issues through collaboration with other participants in their industry. This, however, creates risks that require careful management to avoid running afoul of competition laws.
Many competition enforcers have provided guidance to help companies resolve this tension and encourage lawful collaboration at the industry level, but others have recognized that there is no sustainability exception to antitrust laws and declined to provide guidance to help businesses navigate the intersection of ESG and competition laws. Still others have threatened and even initiated enforcement action against “climate cartels” on theories that sound in antitrust law.
Businesses engaged in ESG and sustainability efforts need to keep up-to-date with the changing enforcement and regulatory landscape, understand the growing body of guidance across jurisdictions, and distinguish the reality from the rhetoric of some enforcers to fully understand their antitrust risks and ensure that they remain compliant with competition laws.
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.
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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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