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Artificial intelligence has taken the public imagination by storm and things are moving quickly.

At Inventures 2023 in Calgary we had Ian Beacraft and Timnit Gebru dedicate their keynotes to it, and a panel featuring representatives from Microsoft, Enmax and the Alberta Machine Intelligence Institute discussing it from an industry perspective.

Today, we're featuring my discussion with Ian Hargreaves from ATB.

Ian and I dive in and build off a previous discussion he had on Tyler Chisolm's podcast Collision YYC (I encourage you to give it a listen) to further explore the implications, considerations and what keeps him up at night as far as artificial intelligence goes. Again, things have been moving fast and we'll talk about some of the changes that have occurred between his and Tyler's interview and his and mine.

One of Ian's big messages is that it's critical for us, ALL of US, to stay on top of AI developments and specifically business exploring the use of AI to understand the role and implications of the incoming federal Act C-27. 

Bio

Ian Hargreaves, Fellow, Artificial Intelligence at ATB

As Fellow of Artificial Intelligence at ATB, Ian is responsible for taking AI out of the lab. This means creating secure, scalable and transparent platforms that deliver on core AI capabilities like computer vision or personalization. His mission is to weave a thread of AI through all digital experiences at ATB - whether it’s tools used by ATB team members, or experiences that directly benefit customers. By rethinking how teams build, support and deliver AI capabilities, Ian and his team believe that they can truly reimagine banking by surrounding all Albertans with a network of intelligent services designed to grow their wealth, however they define it.

After an academic career using neuroimaging and predictive models to understand how people make decisions, Ian graduated from the University of Calgary with a PhD in Brain and Cognitive Sciences. Ian has developed both highly valuable intellectual property and also the foundations of a data science practice within business operations. Ian has managed numerous proofs of concept, and in scaling those quickly learned that the impact of AI is ultimately limited by trust: trust in the algorithm, trust in the team that designed it, and trust in the overall strategy. Ian has co-authored one patent and has 20 academic publications.

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