Year: 2024
Type: conference-paper
Abstract: Regulating artificial intelligence is a primary need of current legal systems. However, bridging legal, policy and technical expertises to achieve good regulation is hard. We illustrate this difficulty by doing a short case study of a decision by the Brazilian Autoridade Nacional de Proteção de Dados–ANPD suspending Meta’s collection of data to train its large language models. I try to demonstrate that the lack of technical knowledge led the ANPD to issue a bad decision, that ended up backfiring. I end by discussing implications for regulatory best practices.
Author: Joao Pedro Padua
Institution: Universidade Federal Fluminense
Language: English
Subfield: Law
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W4405933879