Auditing with data: for Performance Auditors and Internal Auditors that use (or want to use) data

This is the final episode of this podcast. It includes: an explanation - why the podcast is coming to a close. snippets from a selection of prior episodes a brief introduction to Algorithm Integrity Matters - the new Risk Insights podcast. About this podcast The podcast for performance auditors and internal auditors that use (or want to use) data. Hosted by Conor McGarrity and Yusuf Moolla. Produced by Risk Insights (riskinsights.com.au).

Embracing Internal Audit Evolution: A Conversation with Michael Drechnowicz, Head of Internal Audit at TK Elevator In this episode, Michael shares his insights on the evolution of IA in his role as Head of Internal Audit with a major player in the global elevator and escalator industry. His work demonstrates a shift from traditional finance-focus towards extensive business process coverage, ranging from sales to purchasing and fraud investigations. We discuss the increasing importance of diversity in global audit teams and how technology, particularly Artificial Intelligence (AI) and data analytics, are transforming internal audit processes. The conversation further touches on AI's importance in identifying and managing risks, improving process efficiency, and augmenting the learning experiences of junior auditors. Looking ahead, Michael sees a promising and dynamic future for internal auditors amidst rapid digital transformation. About this podcast The podcast for performance auditors and internal auditors that use (or want to use) data. Hosted by Conor McGarrity and Yusuf Moolla. Produced by Risk Insights (riskinsights.com.au).

Our guest is Cathy O'Neil, author of Weapons of Math Destruction: how big data increases inequality and threatens democracy. Cathy joined us to discuss critical aspects for auditors to consider, including: The human element: why understanding 'for whom an algorithm might fail' is more important than the detailed technical design of an algorithm. Algorithm testing: the importance of post-deployment testing to ensure there are no unintended adverse outcomes. Setting standards: the need for industry-wide standards so that regulators can ensure there is no bias or discrimination in how algorithms operate. Laggers and leaders: the four big industries/domains using algorithms that need to step up audit in their space and how law-makers and regulators are catching up. Emerging AI, e.g. language models/chatbots - why trust by users is key, and the pros and cons of using these models. Links Cathy's company, ORCAA Weapons of Math Destruction (book) About this podcast The podcast for performance auditors and internal auditors that use (or want to use) data. Hosted by Conor McGarrity and Yusuf Moolla. Produced by Risk Insights (riskinsights.com.au).

Maarit Widmann is a data scientist at KNIME (www.knime.com) In this episode, we discuss: What KNIME is Why the visual programming paradigm (workflows, rather than code) is appealing to both technical and non-technical professionals The most challenging aspects of the data science lifecycle, and what auditors should be aware of The most important aspects of the data science lifecycle About this podcast The podcast for performance auditors and internal auditors that use (or want to use) data. Hosted by Conor McGarrity and Yusuf Moolla. Produced by Risk Insights (riskinsights.com.au).

In this episode we discuss the use of the word "analysis" in the context of using data for audits. This is an attempt to define the "analysis phase" - or stop using it as the name of a phase - so that we can better structure our work. This is explored in more depth in our book, here: https://riskinsights.com.au/the-data-confident-internal-auditor About this podcast The podcast for performance auditors and internal auditors that use (or want to use) data. Hosted by Conor McGarrity and Yusuf Moolla. Produced by Risk Insights (riskinsights.com.au).