Source: Brazilian Journal of Law, Technology and Innovation

 
This article by Rômulo Soares Valentini analyzes the legal and ethical issues surrounding the use of data generated by workers’ activities to train artificial intelligence (AI) systems. The study highlights concerns about the lack of consent and fair compensation for employees whose data is being harnessed to develop AI algorithms.

Valentini argues that the convergence of automation and labor rights raises critical questions about data privacy and exploitation. The paper explores the need for robust legal frameworks to safeguard workers from unfair practices and to ensure that the benefits of AI development are equitably distributed.

The research emphasizes the gaps in Brazilian labor and data protection laws regarding AI. Current regulations do not adequately address the implications of using workers' data for AI training, leading to liability challenges when AI systems cause harm. Valentini advocates for reforms that include explicit consent requirements, fair compensation mechanisms, and a multidisciplinary approach to policy-making.

The study concludes by urging policymakers to adopt ethical and precautionary principles to prevent exploitation and to create a balanced framework that supports AI innovation while protecting workers' rights.