What is it about?

Artificial intelligence and edge devices have been used at an increased rate in managing the COVID-19 pandemic. In this article we review the lessons learned from COVID-19 to postulate possible solutions for a Disease X event.

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Why is it important?

The challenges and problems we wanted to overcome in this investigation include the integration of artificial intelligence and modern technologies (through functional algorithms) in healthcare systems.


- Historically, nothing has killed more humans than infectious diseases. - There could be millions of undiscovered viruses in the world, and the probability of another global pandemic is only a matter of time. - Current AI systems do not possess consciousness, these systems cannot care and understand, or be intelligent and creative in the same way as humans are. - The current trend in AI-driven chatbots for healthcare has produced numerous bots, e.g. Florence; Infermedica; Buoy Health. Such AI-driven bot could take advantage of big data to launch an automated social engineering attack. - The adversarial AI system could potentially modify the attack and victim interaction with things supporting its narrative. Similar to current botnets used for denial of service (DoS) attacks, threat actors could have millions of AI-based bots looting the Internet to perform attacks. - Such bots, operating at times of global emergencies, could create a significant loss of life.

Dr Petar Radanliev
University of Oxford

Read the Original

This page is a summary of: Methodology for integrating artificial intelligence in healthcare systems: learning from COVID-19 to prepare for Disease X, AI and Ethics, October 2021, Springer Science + Business Media,
DOI: 10.1007/s43681-021-00111-x.
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