thu-1415-a42g-blog

[thu-1415-a42g-blog]

14:15 - AUTOMATED DECISION-MAKING IN COMMERCIAL HEALTH

Organised by Centre for Democracy and Technology

Academic * Policy ** Business ***

Chair Irina Vasiliu, DG JUST, European Commission (EU) Moderator Michelle De Mooy, Center for Democracy & Technology (US)   Speakers Michał Jan Boni, MEP (EU); Claire Gayrel, EDPS (EU); Finn Myrstad, Norwegian Consumer Council (NO); Irina Shklovski, IT University of Copenhagen (DK)

A large swath of personal health data in the commercial environment is governed by the “terms and conditions” set forth by companies, rather than by any regulatory scheme. This new data is being shared, aggregated, and used to make decisions about an individual's health and well being. Companies use automated processes, like data analytics, that harness statistics, algorithms, and other mathematical techniques to convert data into actionable knowledge. In the context of health, automated systems like these may advocate for one course of medication or treatment over another. These systems also influence consumer health in more subtle ways by mediating behavior, such as through the exercise recommendations access to information, and search results for a health condition.

In this context, the panel will consider the following questions:

How are health data collected, shared, and used in commercial apps?

What types of analytics models are used to generate recommendations for individuals?

How does bias impact different populations and developments in the market?