Proposal Description

As national statistical offices shift toward multi source, register based, and AI-enabled data systems, important ethical and leadership questions are emerging alongside statistical and technical transformation. While advances in data integration and analytics offer significant public value, maintaining trust, institutional integrity, and ethical governance remain an ongoing global challenge.
Recent international experience highlights the complex environment in which NSOs operate, including heightened expectations regarding independence, transparency, and stewardship of official statistics. In some contexts, statistical leaders operate under increased scrutiny and competing demands from political, policy, and public stakeholders, underscoring the importance of strong governance arrangements, clear legal mandates, and professional leadership grounded in established ethical principles.

The rapid growth of big data, artificial intelligence, and automated analytical methods should be reshaping ethical practice within official statistics, however in many jurisdictions, ethical and legal frameworks have not yet fully adapted to these developments. This raises questions about automated evidence based decision making, representativeness, bias, and the risk of policy conclusions drawn from incomplete or unevenly governed data. These challenges are closely linked to a broader issue faced by the statistical community: maintaining user confidence and public trust in increasingly complex data systems.

The session will bring together perspectives from New Zealand, Africa, and Latin America to examine ethics across the full statistical lifecycle. This includes the end-to-end statistical and systems design; the legal authority to governance and long term stewardship of integrated data systems, and other aspects such as project management and resource allocation. Participants will reflect on the ethical dimensions of international statistical frameworks and indicator regimes, including the importance of national context, capacity, and proportionality. Resource constraints, affecting statistical design, data quality, capability, and system modernisation, will be examined as often under recognised ethical issues.

The session concludes by considering the value of a Global Code of Ethics for Statistical Leaders, complementing existing professional ethics, to support NSOs as they evolve into trusted data hubs while safeguarding public trust, human rights, and institutional integrity.