The Central Digital and Data Office released guidance on the generative AI framework for HMG on the 18th of January 2024. This guidance builds on the five principles set out in the pro-innovation approach to AI regulation – creating ten guiding principles for generative AI use in government and the public sector.  

Link: Generative AI Framework for HMG 

Topics:  

Principles 

• Principle 1: You know what generative AI is and what its limitations are 

• Principle 2: You use generative AI lawfully, ethically and responsibly 

• Principle 3: You know how to keep generative AI tools secure 

• Principle 4: You have meaningful human control at the right stage 

• Principle 5: You understand how to manage the full generative AI lifecycle 

• Principle 6: You use the right tool for the job 

• Principle 7: You are open and collaborative 

• Principle 8: You work with commercial colleagues from the start 

• Principle 9: You have the skills and expertise needed to build and use generative AI 

• Principle 10: You use these principles alongside your organisation’s policies and have the right assurance in place 

Understanding generative AI 

• What is generative AI? 

• Applications of generative AI in government 

• Limitations of generative AI and LLMs 

Building generative AI solutions 

• Defining the goal 

• Identifying use cases  

• Use cases to avoid  

• Building the team 

• Acquiring skills  

• Creating the generative AI support structure  

• Buying generative AI  

• Building the solution 

Using generative AI safely and responsibly  

• Legal considerations 

• Ethics  

• Data protection and privacy  

• Security  

• Governance