Given the legal challenges that have already arisen as companies dispute both copyright and legal ownership of the output of Generative AI models, this session will cover:

• The existing legal framework and its limitations when addressing Generative AI
• Copyright risks – what are the current risks and how can they be mitigated
• Understanding ownership – who ultimately owns the output from Generative AI

Watch back Matt Hervey, Head of Artificial Intelligence Law Gowling WLG video presentation here >>> 

Chris’ role at NatWest involves him leveraging Machine Learning to improve the effectiveness of their conversational AI agent ‘Cora’ which currently involves investigating how to integrate the benefits of LLMs (Large Language Models) like ChatGPT without any of the downside risk. 

In this session, Chris cover:

• Assessing the ability of LLMs to generate more human sounding output due to the sheer size of the dataset they have been trained on
• Understanding the limitations of LLMs for the enterprise applications due to the risks associated with incorrect or misleading answers
• Blending LLMs with additional architecture, such as knowledge graphs, to extract the benefits while minimising the risks

Watch Chris,Product Owner - Machine learning and Insights at NatWest presentation here >>>

Generative AI represents a significant advancement in the field of Artificial Intelligence, offering new opportunities for creating content and data, improving decision-making, and automating tasks. This presentation will explore how it can change the way we interact with technology. 

Watch Nina, author and Generative AI expert presentation here >>>