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Responsible AI in Healthcare for an Aging World
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Description
As populations age and healthcare systems strain under growing demand, AI is emerging as a vital force for innovation. From predictive health models to AI-powered caregiver assistants and conversational companions, data-driven tools are increasingly supporting elder care. But the rise of the “AI nurse” presents a profound challenge: How do we innovate responsibly while preserving human dignity and empathy?
In this session, Dr. Serena Huang explores the practical and ethical dimensions of applying AI in elder care. This talk bridges the gap between technical development and compassionate delivery, highlighting the critical role data professionals play in building trustworthy, equitable systems for vulnerable populations.
In this session, you will learn:
- How AI and predictive models can address workforce shortages and rising care needs in aging populations.
- How to design systems where AI handles data-heavy tasks while freeing up human caregivers for high-touch, empathetic care.
- Key principles for developing ethical, inclusive, and transparent AI systems that protect privacy and reduce bias.