Artificial Intelligence and Data Privacy: how to balance innovation with compliance

This whitepaper examines the ethical, legal and security challenges emerging from the intersection of AI and data privacy.

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What's the scope of the whitepaper?

It provides valuable insights for businesses looking to adopt a responsible and sustainable approach to AI development, touching on several points of analysis:
The growth of AI technology:

  • Current state

  • How do AI systems work?

  • Market trends and projections

Data privacy and protection concerns:

  • Evolution throughout the years

  • Main overall concerns

  • Main concerns for businesses

Current regulatory landscape:

  • In Europe

  • In America

Best practices and solutions:

  • Privacy by Design

  • Data minimisation

  • Consent management

  • Data audits trails

  • Privacy-driven technologies

  • Training and awareness

  • Incident response plans

  • Compliance consulting with trusted partners

Data privacy compliance roadmap: where to start?
ai_data_privacy

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