IEEE Queensland Section

John Hawkins is the author of the recent book "Getting Data Science Done: managing projects from ideas to products". John's book outlines the essential stages in running successful data science projects, provides comprehensive guidelines to help identify potential issues and then a range of strategies for mitigating them.This event will be a podcast-style interview with John, to discuss various aspects of his book and more generally the practicalities of applying data science/machine learning/artificial intelligence to real-world applications. We will also have Q&A from attendees.Speaker(s): , John HawkinsVirtual: https://events.vtools.ieee.org/m/418770

Although AI is solving real-world challenges and transforming industries, there are serious concerns about its ability to behave and make decisions in a safe responsible way. To address the responsible AI (RAI) challenges, a number of RAI principles frameworks have been published recently, which AI systems are supposed to conform to. However, without further best practice guidance, practitioners are left with nothing much beyond truisms. In addition, significant efforts have been put on model-level solutions which mainly focus on a subset of mathematics-amenable RAI principles (such as privacy and fairness). However, issues can occur at any step of the development lifecycle crosscutting AI, non-AI and data components of systems beyond AI models. To close the gap in operationalising responsible AI and make the adoption of AI safe and responsible AI, in this talk, we will introduce an end to end responsible AI engineering approach including best practices, methods and tools.Speaker(s): , QinghuaVirtual: https://events.vtools.ieee.org/m/417183