The panel presentations and the Q&A in the first session, which has been aligned with UN SDG 3 (Good Health and Wellbeing), addressed the challenges and directions of the development of AI and its relation to the broader area of digital health. Separate presentations has focused on sensitive data access in healthcare (a fundamental problem, amplified during the pandemic) and on recent successful solutions for encryption data technics, complacent with ISO 8000, and allowing application of pattern extraction and model building AI algorithms. The third presentation painted the landscape of future realistic technological solutions connecting AI, telehealth and biomedical engineering, which built on the accelerated developments and practices during the pandemic.
The panel presentations and the Q&A in the second session, which has been aligned with UN SDG 1 (No poverty) and 10 (Reduced Inequalities) addressed the challenges of AI solutions for improving the equality across nations. Linking to the first session were the equity aspects of the access to healthcare through telehealth and data-driven diagnostics and clinical decision advise systems. A case study from the agriculture food domain demonstrated disruptive technological solutions, based on broader integration of decentralised AI technologies, for knowledge-driven value creation for smallholder farmers. Amazon Web Services presented their approach to inclusion, diversity and equity and the vision in addressing .
The event is the first of an annual international workshop series of thought leadership events planned under the title “Frontier Technologies for Sustainable Development: Opportunities and Challenges.”
