Co-create with AI

Partner with AI to accelerate the design process, enhance creativity, and improve operational efficiency.

Definition

Artificial intelligence (AI) can dramatically improve design processes by automating repetitive tasks, generating high-quality visuals, and analyzing data to provide insightful recommendations. AI can be applied to a wide range of design activities, from interacting with data to simulate user experiences and even creating user interfaces.

In design, AI exploration involves utilizing AI engines to interact with accessible datasets and address common challenges. This allows designers to identify potential solutions and evaluate various alternatives effectively. AI simulation enhances this by using AI to simulate real-world scenarios, such as conducting virtual user interviews or testing solutions. Additionally, AI generation enables the automatic creation of user experience flows, visuals, and user interface designs, helping to accelerate the design process and enhance creativity.

However, when incorporating AI into the design process, it's crucial to take several considerations into account, such as using anonymized data to ensure privacy, verifying accuracy to avoid misleading outcomes, and utilizing predictive AI only with robust, relevant datasets. These practices ensure that AI is used responsibly and effectively in design work.

Impact

Leveraging AI in design can accelerate workflows, enhance creativity, and deliver more personalized experiences for users. AI reduces the time spent on repetitive design tasks, enabling teams to focus on higher-value activities. Furthermore, AI-generated designs are consistent and can be scaled more efficiently.

Good design

Automates routine workflows

Accelerates repetitive tasks like generating visuals, user flows, and interfaces to free up human effort for strategic problem-solving.

Simulates user scenarios

Tests solutions against AI-generated user data and scenarios to predict friction points before real-world piloting.

Accelerates prototyping

Leverages generative tools to instantly visualize concepts, allowing for rapid iteration and refinement of high-quality interfaces.

Prioritizes data privacy

Strictly uses anonymized data for all design tasks, ensuring no sensitive citizen information is exposed to public AI models.

Validates AI outputs

Rigorously cross-checks AI-generated insights against verified datasets and real-world research to prevent hallucination and ensure accuracy.

Democratizes access

Creates intuitive, ready-to-use prompts that allow team members of any technical level to leverage AI tools effectively.

Related resources

Further resources relating to how we aim to co-create with AI when we work.

Conversational tools

Use interactive systems that engage in natural language conversations with users.

Automation requirements, challenges and risks

Preempt top implementation challenges and risks that might arise.

Prototyping

Create and test earlier versions of a service with users and stakeholders to deliver services exceeding expectations

Related service principles

Our service principles that relate to co-creating with AI.

Proactivity

Anticipating the needs of citizens and providing services before they are requested.