To ensure AI-powered GUIs are accessible to users with varying levels of technical expertise:

1. Intuitive design: Create an intuitive interface that's easy to navigate.

2. Clear explanations: Provide clear explanations of AI-driven features and decisions.

3. Simple language: Use simple, non-technical language in instructions and feedback.

4. Visualizations: Use visualizations to help users understand complex AI-driven data.

5. Progressive disclosure: Gradually reveal complex features and information.

6. User guidance: Offer guidance and tutorials for new or complex features.

7. Consistent UI patterns: Use consistent UI patterns and conventions.

8. Accessibility features: Incorporate accessibility features like screen readers and keyboard navigation.

9. User testing: Conduct user testing with diverse groups to identify and address accessibility issues.

10. Feedback mechanisms: Provide feedback mechanisms for users to report accessibility issues.

11. Customization: Allow users to customize the interface to suit their needs.

12. Multi-modal interaction: Offer multiple interaction modes (e.g., voice, text, gesture).

13. Error prevention and recovery: Design the system to prevent errors and provide clear recovery options.

14. Documentation and support: Provide comprehensive documentation and support resources.

15. Continuous evaluation: Continuously evaluate and improve the GUI's accessibility.

By following these guidelines, you can create AI-powered GUIs that are accessible and usable for a wide range of users, regardless of their technical expertise.