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A much-anticipated Opinion from the European Data Protection Board (EDPB) on AI models and data protection has not resulted in the clear or definitive guidance that businesses operating in the EU had hoped for. The Opinion emphasises the need for case-by-case assessments to determine GDPR applicability, highlighting the importance of accountability and record-keeping, while also

Part 1: 5 Essential safeguards for website operators

In the rapidly evolving world of artificial intelligence, data scraping is a hot topic. The copying of online text, images and videos has beneficial use cases (e.g. training AI models for more accurate fraud detection or collecting contact details of business representatives for marketing purposes).But is it

In a recent webinar forming part of DLA Piper’s ‘Digital Evolution in conversation with’ series, Technology Transactions and Sourcing partner Lauren Hurcombe caught up with Gareth Stokes and Jeanne Dauzier, DLA Piper’s International Co-Chairs of the AI Practice, to discuss the opportunities and challenges posed by navigating AI from a sourcing perspective.  

Contracting for AI 

Last week, World Menopause Day spotlighted a critical issue impacting half the population. The UK government estimated menopause costs the UK economy 14 million working days annually due to women taking time off due to some of the debilitating symptoms. These include hot flushes, insomnia, low mood and/or anxiety, problems with memory and concentration, and

As the first court in Germany, the Hamburg Regional Court (‘Landgericht Hamburg‘) ruled on Artificial Intelligence whether datasets used for AI training activities may infringe German copyright law (Judgment as of 27 September 2024 – file no. 310 O 227/23).

Background

The plaintiff is a photographer who made one of his photos freely available to

As artificial intelligence becomes increasingly embedded in our everyday lives, the conversation around AI bias and its implications has never been more urgent. Businesses are racing to leverage AI for data-driven decision-making, yet many overlook a critical issue: the very algorithms designed to enhance efficiency can perpetuate existing societal biases. Recent high-profile examples of AI