Sanja Hukovic

Head of Model and AI Risk Management London Stock Exchange Group

Sanja holds a PhD in Mathematics from Brown University and an MBA from the University of Rochester. She held postdoc positions at UMASS Amherst and the University of Missouri, Columbia. After 12 years in several leading model validation roles at UBS in both New York and London, Sanja moved to JP Morgan where she was Head of Quality Assurance for Model Risk Governance and Review and developed a model risk score – a novel quantification of model risk. Sanja now heads the LSEG Model Risk Management function and focuses on new model type risk challenges including ESG and AI.

Conference Day One - Tuesday 1st April

11:30 AM LLM Validation & GenAI Governance: Setting Standards for Risk-Free AI Implementation

As enterprises adopt large language models (LLMs), ensuring proper validation and governance becomes critical to avoid risks and ensure compliance. Validating LLMs for accuracy, fairness, and accountability is essential to maintain trust and mitigate bias. This session explores the importance of establishing rigorous AI governance frameworks and validation processes to scale generative AI responsibly.

  • Establishing clear governance standards to manage risks and ensure regulatory compliance.
  • Validating LLMs for accuracy, fairness, and transparency to foster trust in AI systems.
  • Implementing continuous monitoring and auditing to maintain responsible AI practices.

Check out the incredible speaker line-up to see who will be joining Sanja.

Download The Latest Agenda