The field of artificial intelligence (AI) and machine learning (ML) has experienced remarkable advancements in recent years, offering unprecedented opportunities for producers of official statistics. AI has made rapid progress over the past decades, notably through the application of modern statistical and ML techniques to huge unstructured datasets. They carry great promise as well as potential risks that could undermine their potential. Improperly 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 responsible design, development, and deployment is paramount.

This presentation delves into Statistics Canada's experience in this space and our commitment to responsible AI. With a special focus on generative AI, we examine how our initiatives contribute to ethical practices, fairness, transparency, and accountability.

Speaker: Saeid Molladavoudi

Dr. Saeid Molladavoudi is an accomplished Senior Data Science Advisor at Statistics Canada with a decade of experience in driving transformative AI projects and shaping responsible AI governance. Leading the agency’s responsible adoption of AI and Generative AI, Dr. Molladavoudi has played a pivotal role in leading and enhancing the Framework for Responsible Machine Learning, ensuring ethical AI practices and governance. With a proven track record of managing high-impact projects and fostering collaborations within the AI community, Dr. Molladavoudi excels in aligning emerging technologies with organizational priorities and risk management frameworks.