Sana Hassan

Sana Hassan

Senior Data Science Manager EY
Sana Hassan

Sana Zia Hassan is a recognized leader in Artificial Intelligence and Data Strategy, known for architecting and scaling enterprise-grade AI solutions that drive measurable business impact. With deep expertise in machine learning, generative AI systems, and data-driven transformation, she empowers organizations to unlock value at the intersection of intelligence and infrastructure.

Sana has advised Fortune 500 companies across the CPG, retail, and healthcare sectors, translating complex AI architectures into real-world outcomes that enhance operational efficiency, customer experience, and innovation. She is a published researcher, a strategic voice in responsible AI governance, and a passionate advocate for building the next generation of diverse, ethically minded AI talent.

Agenda

10:00 AM EXPERT PANEL: Searching beyond the hype for human-centered AI agents in practice

With AI agents quickly moving from concept to customer-facing, the conversation around them can be dominated by hype and vague promises. In this session, three leading voices, Emily Yang, Head of Human-Centered AI at Standard Chartered, Jesslyn Dymond, Director of AI Governance and Data Ethics at TELUS and Sana Hassan, Senior Data Science Manager at EY, will cut through the noise, discussing .

Together, our panel will explore the risks and rewards of embedding AI agents into CX, and how human-centred design, governance and ethics should steer their development responsibly.

We will examine the cultural, psychological and ethical factors shaping adoption of AI agents and offer a grounded view of where we are now and where we are heading. Expect candid insights on the biases hidden in training data, the regulatory and reputational risks of human-like agents, and the importance of customer and employee voices in AI strategy.

Attendees will learn:

  • How to distinguish between marketing claims and the real technical capabilities of AI agents.
  • Strategies for embedding human-centered principles and transparency into AI agent design and deployment.
  • Lessons from experts on the frontline of navigating cultural, ethical and operational challenges in AI adoption.