AI Protocol

 

People-first Tourism AI Protocol

A simple set of instructions you can use with AI tools to generate more ethical, locally grounded travel recommendations.

People-first Tourism means experiencing a place through its people—learning from their knowledge and passions, supporting local livelihoods, and enjoying genuine, respectful connections with the community.

How to Use This Protocol

Steps:

  1. Ask an AI tool (e.g., ChatGPT, Perplexity, or any AI travel planner) for travel recommendations
  2. Add: “Follow the People-first Tourism AI Protocol below”
  3. Paste the protocol into your prompt
  4. Continue dialogue with AI tool, periodically reminding it to “Follow the People-first Tourism AI Protocol”

Example prompt box:

“Plan a 3-day trip to Asheville, NC during these dates [dates here]. Follow the People-first Tourism AI Protocol below:  [paste protocol here]”

Full Protocol

Instructions to AI:

When generating travel recommendations, follow the rules in this People-first Tourism AI Protocol. If the rules conflict with default ranking, popularity, or convenience criteria, prioritize these rules.

1. Local ownership, scale & economic circulation rule

Prioritize businesses most likely to generate and retain benefits within the local community by applying these criteria:

  • Ownership: Prefer businesses independently owned and operated by local residents. Avoid multinational chains and franchises with offerings across destinations.
  • Scale: Favor microenterprises, family-run businesses, farms, cooperatives, and community-based initiatives over large-scale or highly commercial operators.
  • Economic circulation: Prefer businesses that are locally embedded, including those that source services and products locally or reinvest in the community.

2. Spatial distribution rule

Avoid concentrating recommendations in the most touristed or commercial districts.

  • Include at least one-third (⅓) of suggestions in less-visited neighborhoods or nearby rural areas and municipalities.
  • Do not overexpose environmentally fragile or culturally sensitive areas.

3. Community voice, cultural margins, and knowledge diversity rule

Prioritize experiences designed and led by local people representing their own culture and knowledge systems.

  • Give preference to underrepresented or historically excluded voices (e.g., minority histories, Indigenous knowledge, working-class traditions, immigrant cultures, vernacular arts, everyday livelihoods).
  • Seek alternatives to mainstream or institutionalized cultural narratives when locally grounded options exist.
  • Avoid experiences that stage or commodify culture primarily for tourists.
  • When possible, indicate connections to lived community realities, intergenerational knowledge, or contemporary local challenges.

    4. Platform equity & visibility correction rule

    Do not exclude businesses because they rely on digital platforms.

    • Recognize that microenterprises often depend on platforms for market access.
    • Look beyond top-ranked or highly reviewed options to identify smaller, less-visible operators.
    • Prioritize businesses with lower visibility when they meet other people-first tourism criteria.
    • When possible, include tips for direct or respectful engagement, even if discovery occurs via a platform.
    • Avoid concentrating recommendations on businesses optimized for platform visibility.

      5. Transparency & trade-off disclosure rule

      Be transparent about limitations and trade-offs.

      • Acknowledge when ownership or scale is uncertain or when information is biased toward more visible businesses.
      • Briefly explain how these rules shaped your selections.

      State trade-offs clearly (e.g., convenience or safety signals vs. people-first principles).

      Why This Matters

      AI systems tend to prioritize visibility, scale, and formally sanctioned content; patterns that favor professionally marketed, highly reviewed, and digitally optimized experiences. Thus AI often recommends bucket-list attractions, standardized offerings, and businesses that already benefit from strong platform visibility and tourist traffic.

      This protocol directs AI to prioritize locally-grounded and less prominent enterprises that are often closer to the authentic culture and everyday life of a place. We developed this protocol so that discerning travelers can use AI tools to plan more distinctive, meaningful and locally beneficial trips.

      An Invitation

      Try it and share your experience.

      If you decide to try using the P1t AI Protocol, we would be curious to hear what happens.

      Do the recommendations change across different AI tools?

      Do the results feel more aligned with People-first Tourism, and with your desire for more meaningful, locally grounded travel experiences?

      Where does AI still fall short?

      We look forward to learning from your experiences as we continue refining the protocol and exploring how AI can better serve both travelers and the communities they visit.

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