Ensuring Fairness in AI: Designing Architectures for Equity and Accountability

Описание: Ensuring Fairness in AI, Designing Architectures for Equity and Accountability

Big Data & Analytics Summit Canada 2025

How can organizations build responsible AI systems that ensure fairness, transparency, and accountability?

In this panel from the Big Data & Analytics Summit Canada, leaders in privacy, governance, and data strategy discuss how enterprises are designing AI architectures that support ethical AI, regulatory compliance, and responsible data use. The session explores the practical challenges of building AI systems that balance innovation with oversight, trust, and governance.

Speakers

Farah Ismail, Chief Privacy Officer, SE Health
Andrea Yzeiri, Chief Data & Analytics Officer and Lead AI Engineer, Picsumi
Vivek Saahil, Principal Lead – Strategic Business Analysis, Pratt & Whitney Canada
Steven Liang, Strategic Data Governance & Data Management Lead, CN Rail
Nadia Jandali Chao, Partner – Privacy, Health & Governance, Lerners LLP

This session was recorded at the Big Data & Analytics Summit Canada 2025, a leading data analytics and AI conference in Canada that brings together enterprise leaders, government agencies, and technology experts to discuss data governance, artificial intelligence, machine learning, and enterprise analytics.

The next 12th Annual Big Data & Analytics Summit Canada will take place:

🗓️ June 9–10, 2026
Toronto, Canada
Sheraton Toronto Airport Hotel & Conference Centre

Learn more about the upcoming event:
https://bigdatasummitcanada.com/pricing/

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