AI for all: Building trust, equity and smarter HIV solutions

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.

30 July 2026
English
Chairs
Maaya Sundaram

Maaya Sundaram

Gates Foundation

Speakers
Maaya Sundaram

Maaya Sundaram

Gates Foundation

Introduction
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Eric Pui Fung Chow

Monash University

Clinical management and better diagnosis: Using AI to diagnose and empower healthcare workers
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Sarah Morris

Audere

Algorithms to empathy: How AI is used for self-care in HIV services
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Primrose Matambanadzo

Independent healthcare professional

Navigating ethics, trust and bias
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Sarah Morris

Audere

Maaya Sundaram

Maaya Sundaram

Gates Foundation

Eric Pui Fung Chow

Monash University

Primrose Matambanadzo

Independent healthcare professional

Sarah Magni

Genesis Analytics

Maaya Sundaram

Maaya Sundaram

Gates Foundation

Q&A and conclusion