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Tech and Analytics for Integrity

Tech and Analytics for Integrity

 

Advancements in analytics and artificial intelligence in the last decade have made data-driven approaches to prevent and detect fraud and corruption a modern-day necessity for governments. At the same time, these advancements have multiplied the challenges and risks, including increased concerns for privacy protection and cyber-security. As the standard-bearers for integrity, accountability and trust in government, anti-corruption and oversight bodies are at the forefront of these issues. For these institutions, keeping pace with digital transformation can be seen both as a strategic imperative and a fundamental duty to citizens. 

 

 

How does the OECD contribute? 

 

The OECD supports our communities of anti-corruption and oversight bodies to advance their digital strategies and strengthen their use of technology, data and analytics by:

  • Advancing digital reforms within anti-corruption and oversight bodies to ensure a high-functioning data ecosystem grounded in strategic objectives and collaborative partnerships. 
  • Co-creating tools and advanced risk models for uncovering risks in specific areas, including public procurement, infrastructure and public grants.
  • Building networks and learning opportunities, including a Community of Practice (CoP) for policymakers and practitioners focused on technology and analytics for public integrity.

 

Ongoing work (2023-2024)

  • Supporting the Tribunal do Contas of Portugal to advance their digital transformation strategy and develop a data-driven risk model for assessing irregularities in public procurement. Financed by the European Commission.
  • Working with Federal Internal Audit of Belgium to incorporate data and analytics, including artificial intelligence, into their risk assessment processes. Financed by the European Commission.
  • Developing indicators that focus on technology and analytics for integrity that will build on our Public Sector Integrity Indicators

 

Recent publications

 

 

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