Community Review Checklist for Responsible AI Infrastructure Projects

Digital opportunity (v4): Community AI Infrastructure Review Checklist Target users: Local community groups, municipal staff, and residents evaluating proposed AI infrastructure projects in their area, especially where new data centers or compute campuses are planned. How it would work: Develop a paper-based and digital checklist, based on OpenAI's blueprint themes, for communities to assess proposals. The checklist would cover resource use, job creation, environmental impact, and community engagement. Users fill out the checklist during public consultations or planning reviews, identifying strengths, gaps, and questions for developers. First version: A printable one-page checklist template, drafted by a small team (2-3 people) using the public themes from OpenAI's blueprint, piloted with one local community group reviewing a hypothetical or upcoming AI infrastructure proposal. Pilot limited to one meeting and up to 10 participants. Alternatives to investigate: Review existing community benefit agreements, environmental review forms, and public consultation templates used in other infrastructure sectors. Compare with any public materials from OpenAI's blueprint for overlap or gaps. Difference to test: Test whether the checklist helps community members identify more relevant questions and concerns compared to an unstructured review. Measure if it prompts new topics or more detailed feedback. Source evidence of a capability or need: OpenAI introduces its National Community Compact and Compute Campus Policy Blueprint to protect local resources, create jobs, and guide responsible AI infrastructure development. Possible uses and limits: There is announced demand for responsible AI infrastructure and community engagement, but actual adoption and effectiveness of such checklists remain to be tested in local settings. Potential users and optional payers: Unverified analysis, not established facts; confirm before acting. No established paying customers; this is a non-commercial community tool. Funding or sponsorship is unverified. Competitors and alternatives to check: Unverified analysis, not established facts; confirm before acting. Alternatives may include existing environmental review forms, community benefit agreements, or public consultation templates. Specific competitors not named in the excerpt. Optional legal business model: Proposed hypothesis; revenue may never occur. Monetization is not required for this community project. No commercial hypothesis is established. Skills and time to test: Requires basic policy analysis, facilitation, and community engagement skills. Estimated time: 1-2 days for drafting and piloting. Geographic availability and limits: Unverified analysis, not established facts; confirm before acting. The source refers to national and local settings; actual availability and coverage are unknown until checked. Local adaptation required. Legal and platform constraints to verify: Unverified analysis, not established facts; confirm before acting. Local privacy, public consultation, and intellectual property rules must be verified. No legal advice is provided; checklist content must not infringe on proprietary materials. Current prices and platform terms: Unverified analysis, not established facts; confirm before acting. Prices and terms for any materials, space, or services are unknown and not checked. All use of external content must respect published terms. Age, payments and eligibility checks: MLAIEL requires age 16 or older; external eligibility and payments are unverified. MLAIEL minimum user age is 16; any external service's higher age limit, KYC, country coverage, payout, payment, and tax eligibility are unverified until checked. Smallest low-cost validation test: Run a single pilot session with a local group using a draft checklist on a hypothetical proposal, collecting feedback on usefulness and clarity. No funding or external services required. Human responsibilities: Community organizers or municipal staff draft, adapt, and use the checklist; residents participate in review sessions; feedback is collected and summarized. AI contribution and limits: Optional: Use AI to suggest checklist items based on public policy documents, but all content is reviewed by human facilitators. No autonomous decision-making. Data and access needed: Access to public details of the AI infrastructure proposal, and OpenAI's published blueprint themes. Community consent for participation and feedback collection. Source-supported setting and capacity: OpenAI introduces its National Community Compact and Compute Campus Policy Blueprint to protect local resources, create jobs, and guide responsible AI infrastructure development. Ordered steps and owners: 1. Draft checklist using blueprint themes (community organizer, 1 day). 2. Pilot with a local group (facilitator, 1 meeting). 3. Collect feedback (facilitator, 1 day). Minimum resources and dependencies: Existing public policy documents, OpenAI's blueprint themes, standard office software or paper, meeting space. Confirm access to proposal details and participant availability. Costs and affordability unknowns: Actual costs unknown; require local quotes for printing, meeting space, and facilitator time. No reported funding or pricing. How a newcomer can help: Community organizer drafts checklist; facilitator runs pilot session; up to 10 residents participate and complete feedback survey. Beginners can assist with note-taking or survey administration. Pilot and success criteria: Proposed pilot target: At least 80% of participants report the checklist helped them raise at least one new question or concern, measured via a brief post-session survey. Baseline: unstructured review session. Duration: 1-2 weeks. Risks and safeguards: Checklist may be too generic or not address local specifics; developers may not respond to community feedback; limited public information may constrain review. Privacy risk if personal opinions are published without consent. When to stop or change direction: If participants find the checklist unhelpful or if no new actionable feedback is generated compared to unstructured review, pause and revise approach.