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

Explore the complexities of transparency in algorithmic decision-making with Karen Yeung, Interdisciplinary Professorial Fellow at Birmingham Law School. Delve into the legal, ethical, and social implications of emerging technologies such as big data analytics, artificial intelligence, and machine learning. Examine the impact of the General Data Protection Regulation (GDPR) on automated decision-making processes and individual rights. Gain insights into the challenges of balancing fairness, privacy, and interpretability in the age of computational governance. Learn about the potential consequences of non-compliance with GDPR and its influence on reshaping relationships between governments, corporations, and individuals. Discover key themes including the transparency illusion, the right to reason, and core lessons from British Administrative Law. This thought-provoking talk offers a comprehensive exploration of the intricate landscape surrounding algorithmic transparency and its broader societal implications.

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