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Transparency in Algorithmic Decision-Making - Karen Yeung, Birmingham Law School

Alan Turing Institute via YouTube

Overview

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This course aims to educate participants on the implications of the General Data Protection Regulation (GDPR) on automated algorithmic decision-making and profiling. By exploring concepts such as fairness, transparency, privacy, and interpretability, the course delves into the rights of individuals regarding the logic behind automated decisions. The course teaches the importance of transparency in algorithmic decision-making, the reasons for providing explanations for decisions, and the considerations involved. The teaching method involves expert-led workshops to explain the GDPR's purposes and provisions, as well as discussing the future of artificial intelligence regulation. The intended audience includes professionals in the fields of law, technology, data protection, and anyone interested in understanding the impact of GDPR on algorithmic decision-making.

Syllabus

Intro
Overview
Lessons from politics
Three themes
Unalloyed good
Sensitive
Why
Transparency Illusion
British Administrative Law
Why a Right to Reason
Reasons Not to Give
Two Considerations
Culture
Core lessons

Taught by

Alan Turing Institute

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