18  Future Directions

This section outlines planned expansions to the book and its accompanying materials. We welcome community contributions—please open issues or PRs to propose additions or volunteer for specific items.

How to contribute: See the Contributing Guide for details on how to propose changes or add new content.

18.1 Content Expansions

• Additional case studies: public-sector deployments, civic tech pilots, domain-specific flywheels (health, education, climate).
• Deeper methods chapters: data governance patterns, preference signals, evaluation protocols, and reproducibility practices.
• Community processes: contributor pathways, governance models, and decision-making templates.

18.2 Tooling & Infrastructure

• Consent and data rights flows: prototypes and reusable modules for informed consent, redaction, and data lifecycle controls.
• Evaluation harness: standardized benchmarks, metrics, and reporting for public AI systems; guidance on dataset release strategies.
• Legal/policy pack: practical checklists, model terms, and jurisdictional notes for public AI programs.

18.3 Roadmap & Calls for Contribution

• Identify gaps: add issues tagging “help wanted” for chapters, examples, and figures.
• Build examples: minimal, runnable demos tied to book sections.
• Iterate: refine structure in response to reader feedback and real deployments.