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A Deep Dive into Bias Risk in AI Models
Earlier this year, the CRTA published a white paper on Responsible AI: Safeguarding AI Use Through Human-Centred Design. Its focus was on how to design responsible AI systems. The paper explored different types of AI risks. We called in expert opinion from our member community to share their experiences, provide insights on current thinking, and offer practical guidance on how to build an AI system responsibly. We heard from our members and readers that they wanted to learn more about bias risk. This podcast will take a closer look into bias risk and provide perspectives on the future of model development.
Donna Bales, co-founder of the CRTA and lead author of the paper will lead a discussion with Vishal Gossain, VP AML/ATF Analytics at Scotiabank and Paul Finlay, Machine Learning Lead at Silverhammer.ai
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By Canadian RegTech AssociationEarlier this year, the CRTA published a white paper on Responsible AI: Safeguarding AI Use Through Human-Centred Design. Its focus was on how to design responsible AI systems. The paper explored different types of AI risks. We called in expert opinion from our member community to share their experiences, provide insights on current thinking, and offer practical guidance on how to build an AI system responsibly. We heard from our members and readers that they wanted to learn more about bias risk. This podcast will take a closer look into bias risk and provide perspectives on the future of model development.
Donna Bales, co-founder of the CRTA and lead author of the paper will lead a discussion with Vishal Gossain, VP AML/ATF Analytics at Scotiabank and Paul Finlay, Machine Learning Lead at Silverhammer.ai