Artificial intelligence (AI) is reshaping how HIV services are delivered – from predictive analytics in prevention and diagnostics to AI-powered chatbots improving self-care. The rapid growth of AI offers a valuable opportunity to strengthen equity, confidentiality and trust in how data are used and shared – turning today’s challenges around bias and inclusion into pathways for more ethical, people-centred innovation. This session will explore how AI can accelerate HIV goals while safeguarding human rights, ensuring inclusivity and fostering community trust. Through case studies from research, implementation and financing, panellists will unpack the promise and practice of AI in advancing a more just and effective global HIV response.
AI for all: Building trust, equity and smarter HIV solutions
Chairs
Maaya Sundaram
Gates Foundation
Speakers
Maaya Sundaram
Gates Foundation
Introduction
.
Eric Pui Fung Chow
Monash University
Clinical management and better diagnosis: Using AI to diagnose and empower healthcare workers
- presentation-slides_174.pptx (34.7 MB)
.
Primrose Matambanadzo
Independent healthcare professional
Navigating ethics, trust and bias
- presentation-slides_176.pptx (9.59 MB)