We often only see the negative consequences of AI in the media, but in this roundtable we will discuss how using responsible and explainable AI can shift the perception of AI both publicly and internally within government organisations in a positive way. Embracing and exhibiting the benefits of AI can help push projects forward faster that improve public wellbeing, build public trust, and make certain the systems being built are ensuring a fair and just society. We will deep dive into the real life challenges that you may be facing to get to this point, including:

• Difficulty establishing accessible, transparent, and easy collaboration across teams
• How to address lack of data standards
• Creating accountability for progress
• Ensuring AI models stay fit for purpose throughout their lifetime

Speaker:

Shaun McGirr, AI Evangelist, Dataiku

Shaun McGirr has over 15 years of experience working with data as a practitioner across multiple industries, including doctorate-level training in applied statistics, consulting, and automotive. In his role as AI Evangelist at Dataiku, he is focused on helping customers maximise value on their paths to Enterprise AI, while coaching and advising teams internally.

His data journey began at Statistics NZ, and continued through a PhD in Political Science at the University of Michigan, where he worked on data collection and analysis for projects on politicians’ support of foreign aid projects, and measuring varieties of democracy, and also taught introductory and upper-level comparative politics.

Prior to joining Dataiku, McGirr served as Head of Data Science & Business Intelligence at Cox Automotive UK from 2016, where he led a team helping customers access, understand, and engage with data to improve decision-making.