In this episode, Partner Jane Parker from our Corporate and Commercial team, talks to Richard Kenyon, Associate Director of Operations and Engineering at Datapay AI Labs. Jane and Richard discuss expert AI systems and their evolution, looking at their current capabilities and future potential.
[01:13] Richard begins by explaining the evolution of expert AI systems, from fixed rule-based systems to more flexible, machine-learning-powered models, He then illustrates what an expert AI system is by way of a payroll use case from Datapay AI Labs.
[03:45] Jane and Richard discuss the key differences between expert AI systems and generative AI, highlighting their reliance on up-to-date authoritative data and noting their greater factual reliability compared to generative AI models.
[06:07] Jane and Richard consider how expert AI systems integrate large language models and machine learning to answer questions and reduce the chance of ‘hallucinations’.
[09:07] They discuss the challenges that expert AI systems face in interpreting questions accurately and how the system ensures clarity.
[13:17] Richard then explains the risks of uncertainty in expert systems and how testing ensures their reliability in specialized domains such as payroll.
[15:47] Jane and Richard consider what other legal subject areas may benefit from the use of expert AI systems.
[21:12] Lastly, they discuss the future of expert AI systems in a New Zealand context, considering where opportunities for development lie.
Information in this episode is accurate as at the date of recording, 7 October 2024
Please contact Jane Parker or our Technology team if you need legal advice and guidance on any of the topics discussed in the episode.
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