<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="stratml_AI_Highlight.xsl"?>
<StrategicPlan xmlns="urn:ISO:std:iso:17469:tech:xsd:stratml_core" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <Name>Designing Democratic Engagement for the AI Era</Name>
  <Description>Strategic plan inferred from the Reboot Democracy blog post summarizing expert feedback on the curriculum &apos;Designing Democratic Engagement for the AI Era.&apos;</Description>
  <OtherInformation>This StratML rendition has been inferred from the source by ChatGPT and lightly edited in the form at https://stratml.us/forms/Claude/Part1.html
^^
The blog posting reports feedback from an advisory group of more than 50 practitioners, researchers, and civic technology experts from 24 nations, plus reader comments and other written input. It summarizes more than 300 pieces of feedback, explains how AI tools were used to synthesize them, and states that draft course scripts are expected to be shared in late March.</OtherInformation>
  <StrategicPlanCore>
    <Organization>
      <Name>Reboot Democracy</Name>
      <Acronym>RD</Acronym>
      <Identifier>ca5509c2-c581-4012-a50f-54e02e6a1dea</Identifier>
      <Description>Publisher of the blog post summarizing feedback and next steps for the curriculum.</Description>
      <Stakeholder StakeholderTypeType="Organization">
        <Name>InnovateUS</Name>
        <Description>Co-creator of the free, self-paced course for public servants.</Description>
      </Stakeholder>
      <Stakeholder StakeholderTypeType="Organization">
        <Name>The GovLab</Name>
        <Description>Co-creator of the course and collaborator in its development.</Description>
      </Stakeholder>
      <Stakeholder StakeholderTypeType="Organization">
        <Name>Allen Lab for Democracy Renovation</Name>
        <Description>Harvard-based collaborator in development of the course.</Description>
      </Stakeholder>
      <Stakeholder StakeholderTypeType="Person">
        <Name>Dane Gambrell</Name>
        <Description>Blog Author ~ Dane Gambrell is a Research Fellow at Burnes Center for Social Change and The GovLab. He supports the organization’s projects related to collective intelligence, public participation in lawmaking (“CrowdLaw”), and Smarter Crowdsourcing. His research touches upon a number of policy areas including labor and workforce development, tech and social media, continuity of Congress, and education. As a researcher at The GovLab, he collaborated on projects with the International Labour Organization, the Walton Family Foundation, and Nesta, among other partners. Dane has been quoted in The Guardian and his writing has been published by The Hill, New Jersey’s Future of Work Task Force, Apolitical, and the American Geographical Society. He is a summa cum laude graduate of New York University’s Tandon School of Engineering with a Bachelor of Science in Sustainable Urban Environments.</Description>
      </Stakeholder>
    </Organization>
    <Vision>
      <Description>Democratic institutions engage people meaningfully, accountably, and inclusively, with AI strengthening rather than shortcutting public participation.</Description>
      <Identifier>d924f545-4ddd-4c52-87ec-f5da4c83de7c</Identifier>
    </Vision>
    <Mission>
      <Description>To equip public servants to design effective democratic engagement processes and to use AI responsibly to improve the efficiency and effectiveness of public conversations.</Description>
      <Identifier>0e3a4ce9-5106-43a8-a4a6-c6dc443b7838</Identifier>
    </Mission>
    <Value>
      <Name>Accountability</Name>
      <Description>Show participants how their contributions mattered, including when input is not acted upon.</Description>
    </Value>
    <Value>
      <Name>Transparency</Name>
      <Description>Clarify assumptions, methods, limitations, and next steps in both engagement design and AI-assisted analysis.</Description>
    </Value>
    <Value>
      <Name>Inclusion</Name>
      <Description>Reach underrepresented communities and incorporate diversity, equity, and accessibility into engagement practice.</Description>
    </Value>
    <Value>
      <Name>Privacy</Name>
      <Description>Protect data and address governance concerns throughout engagement processes.</Description>
    </Value>
    <Value>
      <Name>Integrity</Name>
      <Description>Address adversarial behavior, manipulation, and misuse while preserving public trust.</Description>
    </Value>
    <Value>
      <Name>Judgment</Name>
      <Description>Use AI as an aid to analysis while preserving human editorial and civic judgment.</Description>
    </Value>
    <Goal>
      <Name>Curriculum</Name>
      <Description>Develop a practical course for public servants on designing democratic engagement for the AI era.</Description>
      <Identifier>b8efe8f3-6b30-480d-a38a-f71a240c0450</Identifier>
      <SequenceIndicator>1</SequenceIndicator>
      <Stakeholder StakeholderTypeType="Generic_Group">
        <Name>Public servants</Name>
        <Description>Primary intended learners for the course.</Description>
      </Stakeholder>
      <Stakeholder StakeholderTypeType="Generic_Group">
        <Name>Practitioners</Name>
        <Description>Reviewers and users contributing examples, methods, and implementation experience.</Description>
      </Stakeholder>
      <Stakeholder StakeholderTypeType="Generic_Group">
        <Name>Communities</Name>
        <Description>Members of the public whose meaningful participation democratic engagement processes should support.</Description>
      </Stakeholder>
      <OtherInformation>The blog says the course should be clearer about its audience, assumed prior knowledge, and place within a broader learning pathway. It also says the course should address institutional readiness, leadership commitment, and cross-departmental support.</OtherInformation>
      <Objective>
        <Name>Framing</Name>
        <Description>Clarify audience, prior knowledge assumptions, and the course&apos;s place within a broader learning journey.</Description>
        <Identifier>5bb28075-dc49-41f2-86e0-86aaf183d0c1</Identifier>
        <SequenceIndicator>1.1</SequenceIndicator>
      </Objective>
      <Objective>
        <Name>Readiness</Name>
        <Description>Address prerequisites for engagement, including institutional readiness, leadership commitment, and cross-departmental support.</Description>
        <Identifier>d5d5e04e-032c-4a66-b922-541b3caacbc0</Identifier>
        <SequenceIndicator>1.2</SequenceIndicator>
      </Objective>
      <Objective>
        <Name>Accountability</Name>
        <Description>Deepen treatment of closing the loop so participants can see how their contributions affected decisions and outcomes.</Description>
        <Identifier>15ca1bb6-48e1-419f-962a-29f3bccbc928</Identifier>
        <SequenceIndicator>1.3</SequenceIndicator>
      </Objective>
      <Objective>
        <Name>Risk</Name>
        <Description>Discuss AI&apos;s limitations, opportunities, and risks throughout the course without overstating its capabilities.</Description>
        <Identifier>1f8c94b6-5c45-4c0d-935a-d075f332091d</Identifier>
        <SequenceIndicator>1.4</SequenceIndicator>
      </Objective>
      <Objective>
        <Name>Inclusion</Name>
        <Description>Provide concrete guidance on reaching underrepresented communities and strengthening diversity, equity, and inclusion.</Description>
        <Identifier>5164b072-6e69-4fb4-ac92-412777ba404f</Identifier>
        <SequenceIndicator>1.5</SequenceIndicator>
      </Objective>
      <Objective>
        <Name>Trust</Name>
        <Description>Address trust and explain the meaning of democratic engagement more directly, distinguishing it from public engagement more generally.</Description>
        <Identifier>8b138bfd-8a26-4522-ad8a-4f2808655cec</Identifier>
        <SequenceIndicator>1.6</SequenceIndicator>
      </Objective>
      <Objective>
        <Name>Selection</Name>
        <Description>Clarify participant selection issues, including mini-publics, maxi-publics, cognitive diversity, attrition, and the avoidance of manipulative practices.</Description>
        <Identifier>76b88a1c-61f0-41b4-ac78-32f259511723</Identifier>
        <SequenceIndicator>1.7</SequenceIndicator>
      </Objective>
      <Objective>
        <Name>Privacy</Name>
        <Description>Integrate data protection and privacy considerations throughout all modules.</Description>
        <Identifier>8b249ad8-492d-4390-8711-4a3ba9a27998</Identifier>
        <SequenceIndicator>1.8</SequenceIndicator>
      </Objective>
      <Objective>
        <Name>Security</Name>
        <Description>Address coordinated manipulation, AI-drafted submissions, and staff safety as risks in democratic engagement.</Description>
        <Identifier>4344e572-e5cf-4324-96b4-5d4e37799ae7</Identifier>
        <SequenceIndicator>1.9</SequenceIndicator>
      </Objective>
      <Objective>
        <Name>Structure</Name>
        <Description>Reduce overlap and improve clarity among modules dealing with task design, workflows, and evaluating inputs.</Description>
        <Identifier>9ef53734-db1c-46c9-b8c0-b46a4a35a5f9</Identifier>
        <SequenceIndicator>1.10</SequenceIndicator>
      </Objective>
      <Objective>
        <Name>Examples</Name>
        <Description>Add real-world examples, case studies, and free or low-cost tool references throughout the curriculum.</Description>
        <Identifier>5cfecd57-9757-43a1-b730-000216d2de96</Identifier>
        <SequenceIndicator>1.11</SequenceIndicator>
      </Objective>
      <Objective>
        <Name>Judgment</Name>
        <Description>Deepen discussion of goal-setting, problem discovery, and the continuing role of human judgment in democratic engagement design.</Description>
        <Identifier>e227dc32-c1af-40eb-b13b-dcebb9599d82</Identifier>
        <SequenceIndicator>1.12</SequenceIndicator>
      </Objective>
    </Goal>
    <Goal>
      <Name>Synthesis</Name>
      <Description>Use AI-assisted methods to organize and interpret stakeholder feedback efficiently while maintaining human oversight.</Description>
      <Identifier>207cb48f-da92-4bc1-ae68-eeabb0070383</Identifier>
      <SequenceIndicator>2</SequenceIndicator>
      <Stakeholder StakeholderTypeType="Generic_Group">
        <Name>Reviewers</Name>
        <Description>Experts and readers whose comments, call input, and written submissions informed the revisions.</Description>
      </Stakeholder>
      <Stakeholder StakeholderTypeType="Generic_Group">
        <Name>Editors</Name>
        <Description>Human reviewers responsible for validating and refining AI-generated outputs.</Description>
      </Stakeholder>
      <OtherInformation>The blog says the team used AI to extract comments into a spreadsheet, identify themes, code comments by theme, synthesize issues and possible curriculum changes, extract suggested resources, and compare outputs across Claude, ChatGPT, and Gemini. It also says AI-generated outputs were treated as starting points rather than final products.</OtherInformation>
      <Objective>
        <Name>Extraction</Name>
        <Description>Convert inline comments and other feedback into organized records suitable for structured review.</Description>
        <Identifier>498a1fac-12a2-4416-8ce5-43398286ad34</Identifier>
        <SequenceIndicator>2.1</SequenceIndicator>
      </Objective>
      <Objective>
        <Name>Themes</Name>
        <Description>Identify recurring topics, concerns, and suggestions through thematic analysis and coding.</Description>
        <Identifier>8b5d498d-eb9e-44cd-8eb9-275412f5c023</Identifier>
        <SequenceIndicator>2.2</SequenceIndicator>
      </Objective>
      <Objective>
        <Name>Issues</Name>
        <Description>Synthesize substantive feedback into issue statements and possible curriculum changes or additions.</Description>
        <Identifier>c7671a7a-dd3d-4990-a2f0-b9010bc1c7ca</Identifier>
        <SequenceIndicator>2.3</SequenceIndicator>
      </Objective>
      <Objective>
        <Name>Resources</Name>
        <Description>Catalog case studies, frameworks, tools, and platforms suggested by reviewers and organize them by module.</Description>
        <Identifier>5bcc654c-522c-4547-a861-8f3aa4c28ac2</Identifier>
        <SequenceIndicator>2.4</SequenceIndicator>
      </Objective>
      <Objective>
        <Name>Validation</Name>
        <Description>Cross-check outputs across multiple AI models and against source materials to improve completeness and accuracy.</Description>
        <Identifier>bb01984e-d213-4c51-a7c1-c0918e1cb949</Identifier>
        <SequenceIndicator>2.5</SequenceIndicator>
      </Objective>
      <Objective>
        <Name>Review</Name>
        <Description>Apply careful human review and editorial judgment at every stage of AI-assisted synthesis.</Description>
        <Identifier>b4f1af06-7809-4f1c-9dea-5ccc49a5f956</Identifier>
        <SequenceIndicator>2.6</SequenceIndicator>
      </Objective>
    </Goal>
    <Goal>
      <Name>Publication</Name>
      <Description>Share improved course materials and explain unresolved design tensions and next steps transparently.</Description>
      <Identifier>acaa4326-00c5-4bf9-a350-377a3b64bc3a</Identifier>
      <SequenceIndicator>3</SequenceIndicator>
      <Stakeholder StakeholderTypeType="Generic_Group">
        <Name>Learners</Name>
        <Description>People who will use the course and related coaching resources.</Description>
      </Stakeholder>
      <Stakeholder StakeholderTypeType="Generic_Group">
        <Name>Contributors</Name>
        <Description>Participants whose feedback should be acknowledged and reflected in the revised materials.</Description>
      </Stakeholder>
      <OtherInformation>The blog states that course scripts are being drafted based on the feedback and will be shared on Reboot Democracy in late March. It also says unresolved issues will receive further reflection and that interested people can sign up for updates about the course and the accompanying AI and engagement coaching tool.</OtherInformation>
      <Objective>
        <Name>Scripts</Name>
        <Description>Draft and publish course scripts reflecting the feedback received.</Description>
        <Identifier>5b8450dd-2c16-4b5c-a3c9-d234bb63306e</Identifier>
        <SequenceIndicator>3.1</SequenceIndicator>
      </Objective>
      <Objective>
        <Name>Transparency</Name>
        <Description>Explain unresolved issues, why they are difficult, and how decisions about them will be made.</Description>
        <Identifier>af569897-e1fc-4788-b4c6-8db70923f49c</Identifier>
        <SequenceIndicator>3.2</SequenceIndicator>
      </Objective>
      <Objective>
        <Name>Updates</Name>
        <Description>Keep interested participants informed about the course and the accompanying AI and engagement coaching tool.</Description>
        <Identifier>ade0f48e-244c-4ea8-a6b0-53c71d7f99a9</Identifier>
        <SequenceIndicator>3.3</SequenceIndicator>
      </Objective>
    </Goal>
  </StrategicPlanCore>
  <AdministrativeInformation>
    <PublicationDate>2026-03-17</PublicationDate>
    <Source>https://rebootdemocracy.ai/blog/ai-democratic-engagement-feedback</Source>
    <Submitter>
      <GivenName>Owen</GivenName>
      <Surname>Ambur</Surname>
      <EmailAddress>Owen.Ambur@verizon.net</EmailAddress>
    </Submitter>
  </AdministrativeInformation>
</StrategicPlan>