Workshops

11:00 - 12:00

11:00 – 17:00
29 May 2024 -6 Hr
Paid
  • BLUE ROOM [HEALTH]
  • Level - ENTRY/BEGINNER

Championing Responsible AI for Healthcare in Africa

Rosalind combines her experience as a physician and a researcher to improve health systems through innovation with an emphasis on HIV and sexually transmitted infections in Uganda. She is the Founding Director of the Academy for Health Innovation, Uganda based at the Infectious Diseases Institute, Makerere University and is a Clinical Principal Research Associate at University of Cambridge, UK. She is a Principal Investigator (PI) on various studies investigating the impact of digital technologies. She is co-PI for the Hub for Sexual and Reproductive Health in Africa (HASH), and has sat on advisory teams for Gates Foundation and WHO on AI in health. She and her team developed the ARTAccess App tool which allows HIV drug delivery in private pharmacies for over 40,000 people living with HIV countrywide. Their Call for Life tool has supported the Ugandan Ministry of Health COVID-19 response and continues to provide automated phone call support to people living with HIV and TB. She leads a Medical Drones project funded by the UK Medical Research Council, and Johnson & Johnson which is evaluating the delivery of HIV medication to remote areas. Rosalind is a strong advocate for multi-disciplinary work, e.g. History of HIV project that brought together artists, social scientists and bio-medical teams to create an exhibition at the Uganda Museum and is now a film.  She is a module leader for The Masters in Population Health Sciences - Global Health theme at Cambridge and is a PhD and Masters supervisor at Makerere and Cambridge. 

Leader

Dr Rosalind Parkes- Ratanshi

Infectious Diseases Institute & University of Cambridge

11:00 – 17:00
29 May 2024 -6 Hr
Paid
  • BLUE ROOM [HEALTH]
  • Level - ENTRY/BEGINNER

Championing Responsible AI for Healthcare in Africa

The goal of the workshop is for different stakeholders without an Artificial Intelligence (AI) background to gain an enhanced understanding of their own and each other’s position within the AI ecosystem in Africa and what opportunities exist for synergy and collaboration. This will be focused on Responsible AI, which is defined as AI underpinned by fairness and inclusivity, using transparent and accountable methods. The workshop represents a model technique for Responsible AI characterized by a multidisciplinary collaborative approach.

Leader

Dr Rosalind Parkes- Ratanshi

Infectious Diseases Institute & University of Cambridge

10:00 - 11:00

10:00 – 14:00
30 May 2024 -4 Hr
Paid
  • BLUE ROOM [HEALTH]
  • Level -

Innovations in institutional structures and international programs

Overview of the challenges -Key innovations -Advancing effective mentorship -Creating institutional ecosystems for innovation -Bridging training to productivity -Panel and open discussion <<perspective of the trainee>> <<perspective of an innovator who has succeeded>> <perspective of academia>> <<perspective of training programs>> Objectives Understand how to fill in the gaps in current prevailing pathways for innovation Identify specific changes that can be made to institutional structures and international training programs that will facilitate innovation.

Leader

Jessica Haberer

Professor of Medicine

Harvard Medical School and Director of Research at the Massachusetts General Hospital Center for Global Health

14:00 - 15:00

14:00 – 18:00
30 May 2024 -4 Hr
Paid
  • BLUE ROOM [HEALTH]
  • Level -

Building an Inclusive Enterprise AI Strategy

In today''s rapidly evolving business landscape, artificial intelligence (AI) has emerged as a transformative force, offering organizations unprecedented opportunities for innovation, efficiency, and growth. However, to fully harness the potential of AI, it is crucial to ensure that its deployment is not only technically proficient but also aligned with principles of inclusivity and diversity. This session aims to explore the key considerations and strategies for developing an inclusive enterprise AI strategy that not only maximizes technological benefits but also promotes fairness, transparency, and accessibility. By the end of this session, participants will gain valuable insights into crafting an inclusive enterprise AI strategy that not only leverages the power of technology but also aligns with principles of fairness, diversity, and ethical responsibility.

Leader

Dr. Anish Agarwal

Global Head of Data & Analytics

Dr. Reddy’s Laboratories