1. Introduction. — 2. Law and Tech: A Structured Overview of a Fast-growing Scholarship. — 2.1. What Is The Law and Tech Scholarship and What It Is Not. — 2.2. What Jurists Use Algorithms For. — 2.2.1. Analysis. — 2.2.2. Interpretation. — 2.2.3. Application and Enforcement. — 2.2.4. Enhancement. — 3. Can Law and Tech Save Regulatory Failure? The Case of Disclosure Regulation. — 4. What Responses From The Law And Tech Scholarship? — 4.1. High-Level Paternalism: (Data-Driven) Consumertarian Default Rules. — 4.2. Medium-Level Paternalism: Digital Assistants. — 4.3. Low-Level Paternalism: Other Law and Tech Solutions. — 5. Limits of The Proposed Computer Sciences Solutions And The Need of A «Comprehensive Approach». — 6. Conclusion.
Good Algorithms, Better Rules: How Algorithmic Tools Could Revive Disclosure Regulation
Di Porto, Fabiana
2022-01-01
Abstract
1. Introduction. — 2. Law and Tech: A Structured Overview of a Fast-growing Scholarship. — 2.1. What Is The Law and Tech Scholarship and What It Is Not. — 2.2. What Jurists Use Algorithms For. — 2.2.1. Analysis. — 2.2.2. Interpretation. — 2.2.3. Application and Enforcement. — 2.2.4. Enhancement. — 3. Can Law and Tech Save Regulatory Failure? The Case of Disclosure Regulation. — 4. What Responses From The Law And Tech Scholarship? — 4.1. High-Level Paternalism: (Data-Driven) Consumertarian Default Rules. — 4.2. Medium-Level Paternalism: Digital Assistants. — 4.3. Low-Level Paternalism: Other Law and Tech Solutions. — 5. Limits of The Proposed Computer Sciences Solutions And The Need of A «Comprehensive Approach». — 6. Conclusion.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
