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DESCRIPTION:Click for Latest Location Information: http://dgiq2024east.data
 versity.net/sessionPop.cfm?confid=162&proposalid=15539\nThe field of artifi
 cial intelligence (AI) and machine learning (ML) has experienced remarkable
  advancements in recent years, offering unprecedented opportunities for pro
 ducers of official statistics. AI has made rapid progress over the past dec
 ades, notably through the application of modern statistical and ML techniqu
 es to huge unstructured datasets. They carry great promise a
 s well as potential risks that could undermine their potential. I
 mproperly deployed, AI and ML tools can violate privacy, reinforce existing
  biases, threaten security, and make questionable decisions that can affect
  individuals, organizations, and, ultimately, society. Ensuring their respo
 nsible design, development, and deployment is paramount.\n\nThis presentati
 on delves into Statistics Canada's experience in this space and our com
 mitment to responsible AI. With a special focus on generative AI, we examin
 e how our initiatives contribute to ethical practices, fairness, transparen
 cy, and accountability.\n
DTSTART:20241210T134500
SUMMARY:Navigating Responsible AI: Insights from Statistics Canada's Journe
 y
DTEND:20241210T142959
LOCATION: See Description
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