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Exploring the impact of a pandemic on algorithmic transparency

Research / Pillars & Groups / Communications & Artificial Intelligence / TAG / Internships / Exploring the impact of a pandemic on algorithmic transparency
17 January. 2021
The World Health Organization (WHO) has categorized COVID-19 as a pandemic. This is the first time in the modern era that a coronavirus has affected everyday life in such a drastic way. Physical interactions are reduced to minimal while human interactions over social media applications have spiked. In a world that is interconnected more than ever over the Internet an enormous amount of new data is created by the hour. A significant amount of the produced data is fed back into machine learning algorithms created to facilitate our interaction with an application or provide us a more personalized experience over the Web. How these new data created in the moment of a pandemic affect machine learning algorithms? What are the possible measures to be taken? 
Required Skills
Machine learning, Programming skills (Python or R), English 
Skills Level
Basic to Intermediate
Objectives
The project will identify the possible sources of data affected or impaired as a result of a pandemic outbreak. It will explore the implications of using these data in machine learning algorithms used broadly over the Web (i.e., recommendation systems). As a final step methods and techniques will be proposed for risk mitigation. 

Expected deliverables