AI & Data Integrity

  • 9th December 2025
  • Virtual Learning

Course Objective

Gain a clear understanding of why trusted, high-quality data is essential for effective and responsible use of AI, and explore tools and frameworks to ensure data integrity.

Content

  • The foundations of AI: why “good data” matters more than complex models
  • Common risks: bias, manipulation, and lack of transparency in data pipelines
  • The role blockchain can play in ensuring auditability, provenance, and trust in AI data flows
  • Best practices for managing data integrity across organisations

Format

Half-day workshop

Goal

Understand the central role of trusted, transparent data in the AI paradigm, and how organisations can safeguard integrity to unlock reliable, ethical, and scalable AI applications


For more information or to enroll, please contact: Marco.Scaravillo@parlicentre.org