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COVID-19: A Turning Point for AI Regulation in Healthcare - Towards Achieving SDG3

April 21, 2021
COVID-19: A Turning Point for AI Regulation in Healthcare - Towards Achieving SDG3

AI is increasingly proliferating the healthcare landscape and has immense promise for improving health outcomes in resource-constrained settings. AI-powered health data analytics can enhance medical diagnostics and improve decision-making when it comes to treatment options and health interventions. With over 1.3 billion people owning a smartphone, AI-based solutions can bring diagnostics to people with limited or no access to medical care, free up capacities of health professionals to focus on critical cases, or help save lives in emergencies by allowing patients to be diagnosed even before they arrive in hospitals for treatment. The COVID-19 pandemic has exacerbated the deployment of AI in healthcare. Making AI tools available to effectively overcome a fast-moving pandemic requires government officials, developers, and health organizations to observe the fundamentals of regulation and focus on use cases and models with reliable and validated datasets. This poses several challenges, such as access to good quality and accurate data, data protection, sharing and privacy, identity, and gender, racial and poverty-based bias.

The panel will discuss:

  • How do we build and maintain trustworthy/ethical AI and not stifle healthcare innovation by overregulating?
  • How do governments worldwide use innovative and agile regulation to deploy AI and big data solutions amidst the COVID-19 pandemic (sandboxes, public policy labs, fast track programs)?