
Data Quality and Generative AI in Government
A Comprehensive Guide
No se pudo agregar al carrito
Add to Cart failed.
Error al Agregar a Lista de Deseos.
Error al eliminar de la lista de deseos.
Error al añadir a tu biblioteca
Error al seguir el podcast
Error al dejar de seguir el podcast
3 meses gratis
Compra ahora por $9.99
No default payment method selected.
We are sorry. We are not allowed to sell this product with the selected payment method
-
Narrado por:
-
Virtual Voice
-
De:
-
Mark Craddock

Este título utiliza narración de voz virtual
Acerca de esta escucha
This comprehensive guide explores the pivotal roles of data quality and generative AI in transforming government operations and public services. Drawing on the UK Government's Generative AI Framework and Data Quality Framework, the book offers a detailed look into how these technologies can be leveraged ethically and effectively within the public sector.
Key topics covered include:
Understanding Generative AI in Government: Look into what generative AI is, its potential applications, capabilities, and limitations within public services, and its impact on data management and quality.
Core Principles for Responsible AI Use: Learn the ten foundational principles for using generative AI lawfully, ethically, and securely, emphasising meaningful human control, lifecycle management, and collaborative approaches.
Data Quality Dimensions in Government: Gain a deep understanding of crucial data quality dimensions—accuracy, completeness, consistency, timeliness, validity, uniqueness, and relevance, and their importance in policy-making and service delivery.
Assessing Data Quality in AI Projects: Discover government-specific metrics for evaluating data quality, techniques for gathering citizen feedback, and methods for assessing AI-generated content in public sector contexts.
Building and Managing Generative AI Solutions: Explore best practices for identifying appropriate use cases, building cross-functional teams, procurement considerations, and managing training data throughout the AI lifecycle.
Strategies for Improving Government Data Quality: Learn about data governance roles, cleansing techniques, implementing quality controls, and continuous improvement processes.
Ethical, Legal, and Security Considerations: Navigate the complex landscape of ethical AI, data protection laws, intellectual property, liability, and robust security measures essential for government AI systems.
Building AI Capabilities and Future Trends: Understand the key skills needed for an AI-ready workforce, opportunities for collaboration, and emerging technologies shaping the future of AI-enhanced, data-driven public services.
This guide is an indispensable resource for public sector leaders, policymakers, data professionals, and AI practitioners committed to delivering high-quality, trustworthy, and efficient government services in the age of AI.