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on
1
Intro
2
Datadriven platforms
3
Platforms
4
Behaviorism
5
Dawkins Zuckerberg
6
Omniscience
7
Platform
8
Totalitarianism
9
Ground truth
10
Outofsample
11
Contestability
12
Enforcement
13
Consent
14
Burden of proof
15
Ease of withdrawal
16
Purpose limitation
17
Competitive advantage
18
Purpose specification
19
Profiling
20
Testability
21
Explanation vs justification
22
Explanation and justification
23
Preregistration
Description:
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. Read more

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

Alan Turing Institute
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