Paul Dongha

Head of Responsible AI & AI Strategy NatWest Group

Current Head of Responsible AI & AI Strategy at NatWest Group & previously Group Head of Data and AI Ethics at Lloyds Banking Group (LBG) within their Chief Data and Analytics Office. Responsible for all processes and technologies which combine to ensure we generate trustworthy and responsible outcomes for our customers. Also lead LBG’s Generative AI Strategy. Previously involved in cutting-edge research to create technologies which ensure AI systems generate fair and unbiased predictions. I have helped to shape AI policies, principles, and regulations through participation in International forums. Extensive experience in building service-based and event-driven, high-performance, global financial calculation systems incorporating Big Data. I have managed all aspects of IT Program execution involving globally distributed IT teams. Experienced in advising C-suite executives and banking regulators. PhD in Artificial Intelligence, MSc and BSc in Computer science. Research experience and University lecturer in Computer science, Natural Language processing, Object Oriented, Functional and Logic programming.

Responsible AI Summit Conference Day 1 - Tuesday 17 September

12:00 PM Panel Discussion: Ensuring Ethical AI: Mitigating Bias and Hallucinations in Generative Models

Explore strategies to overcome bias and hallucinations in generative AI models for inclusive datasets. Learn how varying data governance leaders in leading organizations are:

• Employing diverse datasets and rigorous testing to identify and mitigate biases.

• Implementing ethical guidelines and validation processes to ensure inclusivity and fairness.

• Collaborating with diverse stakeholders to address ethical concerns and promote transparency.

4:30 PM Presentation: How Clean is Your AI? Navigating Sustainability in Responsible Generative AI

Explore the vital synergy between Responsible AI and sustainability, focusing on AI’s environmental footprint. Delve into strategies for mitigating carbon emissions, optimizing energy efficiency, and promoting ethical AI practices to build a sustainable future.

• Implementing energy-efficient systems to minimize AI’s carbon footprint and contribute to environmental preservation.

• Leveraging renewable energy sources to power AI infrastructure and data centers, promoting sustainability in AI operations.

• Integrating sustainability metrics into AI development processes to measure and mitigate environmental impact, prioritizing green AI practices.

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

Download The Latest Agenda