Leadership Series: The ethics of AI and data (encore)
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This week we’re re-airing an episode that originally came out in June, but the topic is more relevant than ever. The interview you’ll hear is part of our Leadership Series, where we hand the mic to leaders at Scotiabank to interview experts on an issue that resonates with them. You'll hear a conversation hosted by Grace Lee, Scotiabank’s Senior Vice President, Chief Data and Analytics Officer, with Anton Ovchinnikov, Distinguished Professor at the Smith School of Business at Queen’s University and a Scotiabank Scholar of Customer Analytics. They discuss what exactly data ethics means, why financial services are well positioned to take a leadership role in this emerging field and much more.  Read Anton’s research study on AI and gender bias here. Other episodes of the Leadership Series:  The power of allyship in the workplace  Challenging the narrative around women and farming Key moments this episode: 1:59 — What exactly is data ethics?  3:41 — How does the study of data ethics relate to traditional ideas of ethics? 6:30 — Technology is evolving faster than our norms and ethics can keep up it seems, how can we feel comfortable around things like AI? 9:04 — How should can people play a positive role in implementing data ethically as more and more people have access 11:50 — How is ethics around data evolving?  13:47 — How can people concerned about AI ensure it’s doing more good than harm 15:53 — Why AI’s use ultimately is a business decision 16:52 — What Grace sees as the hardest part about implementing AI in a business 18:58 — Why increased awareness of AI has been helpful 20:03 — What Grace has learned from risk management that she applies to her approach to implementing AI
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