Buying and building
- Should I buy an AI product or build one in-house?
- How do I choose a procurement route for an AI solution? Contrasting
- Do I need a data assessment before starting an AI procurement?
- Should AI procurement requirements describe the problem or prescribe a solution?
- What should an AI impact assessment cover when buying AI?
- How should I engage the market before buying an AI system?
- How do I avoid black-box algorithms and vendor lock-in when buying AI?
- What should I look for when evaluating AI supplier tenders?
- What lifecycle and end-of-life requirements should AI contracts include?
- How do I measure the impact of an AI solution?
- How do I make government datasets ready for AI?
- How do I reduce the environmental impact of building or using AI?
- When should I involve commercial colleagues in an AI project?
- How do I write a business case for an AI project?
- What spend controls or approvals apply to AI and digital projects?
- How do I specify requirements when buying AI?
- Who owns the intellectual property if we develop or procure an AI solution?
- How do I avoid vendor lock-in when buying AI?
- What should I require from AI suppliers on transparency, bias and training data?
- When should councils use the LGA Responsibly buying AI guide?
- When must a council assess equality impact before buying AI?
- When should a council involve its DPO in an AI procurement?
- How do I build equality and data protection into AI tenders?
- Is deciding not to buy an AI product a valid outcome?
- How should commercial teams apply Secure by Design when buying AI?
- What does Secure by Design require when buying third-party technology?
- Who is responsible for security when we use third-party AI components?
- How does the AI Opportunities Action Plan change AI procurement?