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AI and accountability - Navigating responsibilities across the AI value chain

Accountability is a pervasive AI principle. But how to put it into practice? Accountability is a pervasive AI principle. But how to put it into practice? If you’re reading this note, you likely already know three things:...more

Zooming in on AI #16 Open source Artificial Intelligence what are we really talking about and what are the legal implications...

What are we really talking about and what are the legal implications under the EU AI Act? The rapid evolution of artificial intelligence (AI) has led to significant opportunities and challenges, especially in the realm of...more

Data scraping for AI development – still no progress in the TDM debate

Image Alex Shandro It appears that the debate surrounding the UK’s Text and Data Mining (TDM) exception is about to reignite. TDM exceptions are key to assessing the legality of training generative AI models, and to...more

Desire to harness potential of generative AI drives rising interest in data as an asset

Investors are targeting AI developers and buying proprietary data sets to build new AI businesses. Here we explain how to manage risk in this fast-evolving space. When MIT named generative AI as one of its breakthrough...more

Why AI drug discovery deals are different from traditional pharma collaborations

Pharma companies have long collaborated with other organisations to bring new drugs to market. But what happens when their partner is an artificial intelligence (AI) company rather than another pharma business? Here, we...more

New due diligence challenges facing investors in AI

Organisations looking to acquire or collaborate with Artificial Intelligence (AI) companies, or acquiring AI technologies, are having to address a host of specific risks in their due diligence procedures....more

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