Philosophical Disquisitions 81 - Consumer Credit, Big Tech and AI Crime
Sep 18, 2020
Nikita Aggarwal discusses algorithmic credit scoring, the problems of 'too big to fail' tech platforms, and AI crime. They explore the digitization and datafication of consumer credit markets, the risks and biases in credit scoring, and how law and regulation can address these issues. They also discuss the implications of big tech platforms like Facebook and the inadequacy of the existing legislative framework for data control.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8
Introduction
00:00 • 2min
The Scope and Digitization of Consumer Credit
02:02 • 10min
Algorithmic Credit Scoring in Consumer Lending
12:24 • 13min
Contrasting Informed Consent and Legitimate Interest in Data Processing
25:34 • 2min
Regulating Technology and the Need for Context-Specific Guidelines
27:49 • 2min
The Implications of Big Tech Platforms
29:26 • 16min
Inadequacy of Existing Legislative Framework for Data Control
45:30 • 2min
Addressing Liability and Emergent Behavior in Artificial Agents
47:57 • 16min
