The Primitives of Legal Protection Against Data Totalitarianisms - Professor Mireille Hildebrandt

Explore the legal implications of automated decision-making and machine learning in constitutional democracies through this 43-minute lecture by Professor Mireille Hildebrandt at the Alan Turing Institute. Delve into the concept of data totalitarianism and examine the primitives of legal protection against it. Gain insights into the General Data Protection Regulation (GDPR) and its impact on data processing, algorithmic decision-making, and profiling. Analyze key concepts such as fairness, transparency, privacy, consent, and interpretability in the context of AI regulation. Investigate the challenges posed by data-driven platforms, behavioral manipulation, and the pursuit of omniscience. Explore topics including ground truth, contestability, enforcement, purpose limitation, competitive advantage, profiling, testability, and the distinction between explanation and justification in automated systems. Understand the importance of pre-registration and the burden of proof in protecting individual rights in the age of AI.

Intro
Datadriven platforms
Platforms
Behaviorism
Dawkins Zuckerberg
Omniscience
Platform
Totalitarianism
Ground truth
Outofsample
Contestability
Enforcement
Consent
Burden of proof
Ease of withdrawal
Purpose limitation
Competitive advantage
Purpose specification
Profiling
Testability
Explanation vs justification
Explanation and justification
Preregistration