Unpacking the legal challenges in sourcing AI in healthcare and life sciences in the US and the EU Webinar Series

With the rapid rise in popularity of AI across various sectors, particularly in drug development and healthcare, law departments are initially tasked with structuring sourcing activities to establish appropriate purchasing or deployment terms and governance for new AI models and systems. Over the course of two webinars, Bird & Bird and Epstein Becker & Green will offer practical guidance and tips for the industry. The programme for both webinars is detailed below.

Programme

Monday 17 June 2024 

11AM EDT / 4PM BST / 5PM CEST

11:00 - 11:20  Transaction support and best practices in contracting provisions for the acquisition or deployment of machine learning models 
11:20 - 11:40  Intellectual property support and training data support, as these licensing deals are rife with IP issues 
11:40 - 12:00  Privacy and security, finding a way to comply with wide-ranging requirements at the international, national and state and local realms 

 

Friday 21 June 2024

11AM EDT / 4PM BST / 5PM CEST

11:00 - 11:20 

Due diligence considerations

  • Positive performance of the machine learning model
  • Negative performance in areas such as discrimination and bias 
11:20 - 11:40 

AI – Data Ethics Issues

  • AI and biased data sets – amplification, liability and what can be done to tackle data ethics issues in the life sciences sector 
11:40 - 12:00 

Regulatory compliance issues in the healthcare sector

  • Domain specific regulatory requirements such as FDA and EU medical devices
  • EU AI Act requirements applicable to general purpose AI models, high risk uses of AI systems 

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