Trustworthy AI in the Public Sector: Why Data Provenance Matters скачать в хорошем качестве

Trustworthy AI in the Public Sector: Why Data Provenance Matters

Are your public sector AI projects built on trustworthy data? Public sector organisations are under pressure to adopt AI responsibly, transparently, and at pace. Yet many AI initiatives fail, not because of the technology, but because of poor data foundations. In this session, we explore why data provenance, data quality, and ethical data sourcing are critical for trustworthy AI in government and public services. Learn how weak visibility into data origins creates governance, legal, and reputational risk, and how a practical “farm-to-table” data approach can support responsible AI adoption at scale. Designed for public sector leaders, data professionals, and AI governance teams, this talk focuses on real-world implementation, not theory, to help you assess whether your data is truly fit for AI use. What you will learn: Why data provenance is essential for trustworthy AI Common data risks in public sector AI projects How to evaluate data readiness for AI initiatives Practical steps to improve data governance and quality A “farm-to-table” framework for ethical AI data Who should watch: Public sector leaders • Government data teams • AI governance & risk professionals • Digital transformation leaders • Policy & compliance specialists (Keywords: public sector AI, trustworthy AI, AI governance, data provenance, data quality, ethical AI, government AI strategy, responsible AI, data governance, AI risk management, public sector data)