Steven Liang is a Data Governance Specialist at CN Rail, leading key initiatives within the company’s cutting edge Data Governance and Data Management Program. He, along with a team of Data Management professionals, ensures that data is governed, trusted, and compliant while facilitating data democratization and culture across the enterprise. His expertise spans Business and Technical Metadata Management, Data Privacy, AI Governance, and the development of governance frameworks that drive business efficiency and regulatory adherence. Holding a Master of Management in Analytics (MMA) from McGill University, Steven combines analytical expertise with strategic Data Governance experience to advance best practices in the transportation and rail domain. Beyond his role at CN, Steven is an Executive MMA Ambassador at McGill Desautels, where he leads a team of alumni ambassadors dedicated to promoting analytics education, mentoring students, and fostering industry-academia collaboration. Through this role, he supports aspiring data professionals, contributes to thought leadership, and engages with industry leaders to bridge the gap between theoretical knowledge and real-world applications. At this conference, Steven will aim share practical strategies, emerging industry trends, and actionable insights into the evolving landscape of Data and AI Governance.
Day 1: Jun 4, 2025
Day 2: Jun 5, 2025
12:00 pm
PANEL
Ensuring Fairness in AI: Designing Architectures for Equity and Accountability
Protect your most valuable data. Detect and mitigating biases in data sources and AI algorithms while fostering transparency and accountability throughout the AI lifecycle. Develop a blueprint to:
- Adopt frameworks for identifying and addressing biases in data and algorithms.
- Enhance transparency and accountability in building trust in AI systems.
- Build credibility with executives, teams, and customers through fair AI practices.
Amplify innovation and brand building to foster trust and drive long-term success in your organization.
