The amount of data, its usage, and the spread of data technologies is extensive. At the same time, the legal, ethical and policy implications of data often remain foreign to those operating in the field. This course is designed to focus precisely on these matters, particularly as they are gaining significance with the increased capacities in data science. The purpose of this course is to develop a thorough understanding of the legal, ethical and policy issues and approaches that characterise the lifecycle of data.
-Knows how to analyse legal and ethical issues regarding privacy and data protection keeping in mind the economic, political and social implications of these fields; -Has an understanding of the concepts, principles and regulation of privacy and personal data protection within the European regulatory framework; -Knows the main legal and ethical issues related to surveillance, security, classification, discrimination, and decision autonomy in the lifecycle of data; -Has an understanding of the differences between the legal, ethical and policy based approaches to norms and enforcement mechanisms; -Is familiar with some technological approaches to solving legal and ethical issues in data lifecycle; -Has an understanding of how to present their work in data science to experts from other fields.
Brief description of content
The course examines legal, ethical and policy issues that characterise the lifecycle of data from collection, to storage, processing, analysis and use. Among else, this includes the discussion of issues related to privacy, data protection, surveillance, security, classification, discrimination, and decision autonomy. Focusing on case studies related to exploring these matters across various disciplines, the course will introduce the technical, legal, and market approaches for managing risks and facilitating compliance with data-related ethical and legal requirements.
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