Max Schrems, jurista: “La promesa de la nube fue que todo sería mucho más barato, pero resulta que funciona con monopolios” | Tecnología | EL PAÍS

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Key Points of the Interview with Max Schrems

This article features an interview with Max Schrems, a renowned Austrian privacy activist known for his legal battles against major tech companies. He has been instrumental in shaping European data protection laws, notably through his influence on the General Data Protection Regulation (GDPR).

Schrems's Legal Actions

  • He filed numerous lawsuits against Facebook, leading to significant changes in data transfer regulations between the EU and the US.
  • He also sued Apple, Google, and Microsoft over alleged privacy violations.
  • He's currently involved in legal action against X (formerly Twitter) concerning AI training data.

Critique of US Tech Companies and Data Transfers

Schrems critiques US tech companies for exploiting loopholes in EU data protection regulations and suggests the need for stricter enforcement of existing laws. He highlights the challenges of data transfer to countries with less stringent privacy regulations, particularly the US.

The Cloud's Broken Promises and the Need for a European Digital Infrastructure

He argues that the cloud computing model, despite its promise of cost savings, has instead created monopolies that manipulate pricing. Schrems advocates for a gradual shift towards a more independent European digital infrastructure, emphasizing the need for a coherent regulatory framework to encourage this development.

Regulatory Challenges and the Role of the EU

Schrems points to shortcomings in the implementation and enforcement of the GDPR and the AI Act. He suggests the EU needs a more comprehensive and effectively enforced digital law and encourages a more assertive approach in addressing data protection issues in response to US policies.

The Future of Data Privacy and AI

Schrems discusses the challenges posed by AI to data privacy and the need for clearer regulations on how AI models are trained using personal data. He also emphasizes the importance of holding companies accountable for AI-generated inaccuracies, or 'hallucinations'.

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