Overview
This course aims to teach learners about data externalities in translation. The learning outcomes include understanding the concept of data externalities, identifying key players in the field, exploring privacy values, and recognizing excessive data sharing practices. The course covers case studies, observations, and the concept of data substitutability. The teaching method involves presenting three case studies, discussing individual contracting, and enabling collective bargaining through group discussions. This course is intended for individuals interested in translation, data privacy, and collective bargaining in data-related fields.
Syllabus
Intro
Three Case Studies
The Players
Where to look for Values of Privacy
A Data Externality
Summary of Observations
Data Sharing is Excessive
Reimbursements are Low
Data is Substitutable
Individual Contracting
Discussion Group 3: Enabling Collective Bargaining
Reports from the Discussion Groups
Taught by
ACM FAccT Conference