Artificial intelligence, or AI, has grown increasingly popular for its ability to process large sets of data. The term “AI” describes algorithms that can be taught to identify patterns or predict outcomes. If the algorithm is primed with a teaching set of data, then it can evaluate new sets of data based on the desired outcome. AI has been used to process patient data, biometric data, facial recognition data and geolocation data by various industries. However, it has fallen prey to criticism for potentially biased results and alleged invasion of user privacy.
Now, AI industry leaders are applying their technology to new issues raised by the novel coronavirus (COVID-19). Results show that AI can aid in combating COVID-19 and improve our response to future pandemics. However, to reach AI’s full potential in a health crisis, access to vast quantities of patient data is necessary. This article explores the benefits and risks of a regulatory framework allowing temporary access to patient data for the purpose of combating a global pandemic.
The original article can be found here.
Regarding to AI impact for world society matter and global healthcare especially during COVID-19 pandemic, the Michael Dukakis Institute for Leadership and Innovation (MDI) established the Artificial Intelligence World Society Innovation Network (AIWS.net) for helping people achieve well-being and happiness, relieve them of resource constraints and arbitrary/inflexible rules and processes, and solve important issues, such as SDGs.