The Trustworthy AI Podcast

In episode #10, we are joined by two guests, Andy McMahon and Greig Cowan from the NatWest Group, to learn about the group’s Machine Learning Operations (MLOps) journey.

Andy and Greig talk about the four pillars of that journey - People, Process, Data and Technology - and about the efforts to embed ML model quality by design into those pillars. They explain how the group’s standardised data lab methodology, supported by a m...

In episode #9, TruEra co-founder Anupam Datta is joined by his guest, Agus Sudjianto, Executive Vice President and Head of Corporate Model Risk at Wells Fargo. Agus talks about the importance of ensuring model robustness, going beyond explainability and fairness, as a prerequisite for greater adoption of AI. We also learn a little bit of the history of Model Risk Management in the context of the U.S. banking industry and the import...

In episode #8, Oliver provides us a European perspective on a range of topics - from the new draft AI regulation proposed last year, to the state of AI adoption in Europe, and how organizations are building practical mechanisms to make AI trustworthy. 

Oliver also shares his advice for data scientists who are weighing a career in financial services against other options, and provides his predictions ...

In episode #7, we talk to Peter Kasahara, Group Chief Data Officer at Zurich Insurance, about the AI opportunity in insurance. We discuss the barriers to AI adoption in the industry, and the importance of trust in that context. We discuss the attractiveness of the insurance industry for data professionals. Finally, Peter shares his views on the AI opportunities about which he is most excited.

About the speaker

Peter ...

In episode #6, we talk to Ansgar Koene, Global AI Ethics and Regulatory leader at EY. Ansgar, based in London, focuses his work on tools to maximize the beneficial use of technology and minimize negative consequences on people and society. We get Ansgar’s take on AI Ethics, and how that varies, or doesn’t, from Ethics in business more broadly. 

We get an expert’s perspective on the ...

In episode #5, we discuss the role that good regulation can play in promoting the adoption of AI at scale. David shares his experiences in the transition from writing the finance industry’s first-ever regulatory guidelines on AI (at the Monetary Authority of Singapore, 2018) to actually putting them into practice.

We get David’s views on whether AI is living up to its promise in financial services, and the skill sets n...

In Episode #4, we discuss the importance of high quality external data in enabling greater AI innovation and adoption. We explore how data management best practices around consent, vendor due diligence and data quality monitoring can help build trust in such data. And how, when used appropriately, more external data can help make AI models fairer and more reliable. Finally, we get Mark’s take on why the financial services ind...

In episode #3, we are joined by two guests, Brad Carr and Natalia Bailey from the Institute of International Finance (IIF) to learn about some of the most comprehensive research conducted in the adoption and governance of AI in the Finance industry, over the last 3 years.

With more than 450 members from 70 plus countries, the IIF's mission is to support the industry in the management of risks and to advocate for appropriate regula...

In episode #2, we first explore the world of Money Laundering, Terrorist Financing and other types of financial crime, and understand how financial institutions use data and analytics  to prevent and detect such crime.

We discuss the importance of Trustworthy AI in this regulated part of the industry and finish with a story about data science and poetry. Tune in to discover why building models to mitigate financial crime may ...

In this episode, we talk to Tobias Baer, author of “Understand, manage and prevent Algorithmic bias”, perhaps one of the earliest books (2019) on Trustworthy AI.

We cover a range of topics - from bias in algorithms and practical ways organizations can address it;  what data scientists in a financial institution can learn from Greek literature, German philosophers, and martial arts; and finally, how AI is viewed di...

The Trustworthy AI Podcast interviews leading figures in machine learning and AI, discussing how to bring high-quality AI applications to real-world use, while navigating regulations, ethical standards, and business and community needs.

The first season is hosted by Shameek Kundu, Chief Strategy Officer at TruEra. He'll speak to leading AI practitioners to demystify the concept of Trustworthy AI, focusing initially on financial se...