Digital transformation and generative AI go hand in hand. An increasing number of organizations are using generative AI applications such as text generation, image creation, and process automation. However, this rapidly evolving technology also raises important questions: how should sensitive data be handled, what actions should be taken when AI outputs are biased or incorrect, and how can we ensure AI contributes to public values rather than undermining them? These concerns are echoed in the recently published government-wide guidelines on generative AI, which highlight the associated risks. As legislation, technology, and ethics evolve at a fast pace, many organizations are looking for guidance. How can we ensure control, human oversight, and trust in AI applications?
In this whitepaper, we explore the security and ethical risks of generative AI and how organizations can take a proactive role in managing them. We cover current regulations such as the EU AI Act and GDPR, share best practices for privacy, explainability, and sustainability, and demonstrate how a governance organization can integrate AI into its strategy, policy, and operations. The whitepaper provides not only insight but also practical tools for applying AI responsibly and at scale.
At Supply Value, we support organizations in developing and executing thoughtful strategies. We specialize in combining digital innovation, governance, and change management. With our expertise in IT architecture, ethics, and stakeholder management, we help organizations take control of AI—from vision to implementation.
Want to take control of generative AI in your organization? Download our whitepaper below to explore practical strategies, governance models, and best practices for using AI responsibly in the public sector.
