15  Future Directions

This section sketches near-term areas to extend the book and its accompanying materials. Please open issues or PRs to propose additions.

Here are just a few ideas:

15.1 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.

15.2 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.

15.3 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.