AI Fluency for Starling Institute

Multiply your team's capacity to shape the next decade of multilateralism

What is AI Fluency & Why Starling Institute?

AI Fluency is the ability to work effectively, efficiently, ethically, and safely with AI as a thinking partner—not just a productivity tool. It's about knowing when to delegate to AI, how to communicate what you need, how to evaluate what it produces, and how to use it responsibly in high-stakes work.

The Framework: The 4 Ds

Developed by Ringling College and Cork University Business School, the Framework for AI Fluency identifies four interconnected competencies that enable effective, efficient, ethical, and safe Human-AI interaction:

1. Delegation

What: Creative vision and selection of the right AI tools and techniques to realize that vision

The competency: Understanding when and how to use AI tools effectively in creative and problem-solving processes. This involves analyzing tasks, understanding AI platform capabilities, and making informed decisions about when to use AI for automation, augmentation, or independent agent-mediated experiences.

For Starling Institute: Envisioning goals for UN80 analysis, decomposing tasks into AI vs. human components, selecting the right platform for coalition mapping, balancing AI and human capabilities throughout policy work

2. Description

What: Effectively describing a vision and tasks to prompt useful AI behaviors and outputs

The competency: Communicating ideas, requirements, constraints, and creative visions to AI systems. This encompasses crafting clear, specific prompts using various techniques to guide AI tools in producing desired behaviors and outputs—defining not just what you want, but how you want it created and performed.

For Starling Institute: Product prompting (stakeholder-ready briefings), process prompting (iterative multilateral analysis), performance prompting (diplomatic tone, political sensitivity), translating complex policy requirements into AI-understandable terms

3. Discernment

What: Accurately assessing the quality and appropriateness of AI outputs and behaviors

The competency: Critically evaluating AI-generated content and behaviors against project goals, quality standards, ethical considerations, and domain expertise. This includes product discernment (output quality), process discernment (collaboration effectiveness), and performance discernment (AI behavior appropriateness).

For Starling Institute: Fact-checking member state positions, evaluating quality for donor/member state audiences, ensuring AI hasn't missed critical political nuance or diplomatic context, validating outputs meet Starling's reputation standards

4. Diligence

What: Ensuring ethical practice, transparency, and accountability in AI use

The competency: Maintaining responsible AI practices throughout the creation, deployment, and use of AI systems. This includes creation diligence (ethical development), deployment diligence (responsible release), and transparency diligence (clear communication about AI use and limitations).

For Starling Institute: Protecting confidential diplomatic information, maintaining credibility with donors and partners, transparent disclosure to stakeholders about AI assistance, ensuring accountability in high-stakes multilateral work

Why This Matters for Starling Institute

Your 8-person team operates at the center of multilateral reform during the most consequential moment in decades:

The bottleneck isn't ideas or relationships—it's human bandwidth. Every hour on document synthesis is an hour NOT spent on strategy or coalition building.

3-5x
Potential capacity increase
100+
Member state positions synthesized in hours, not weeks
4+
Languages produced simultaneously

AI Fluency isn't about replacing your expertise—it's about amplifying your natural edge: political savvy, trusted relationships, and nimble strategic positioning.

Why Now: The Critical Window

Three parallel processes converge in 2025-2026. Your capacity to influence them will determine your impact for the next decade.

The Competitive Reality

How You Work Now With AI Fluency
Position paper synthesis: 2-3 weeks Position paper synthesis: 2-3 days
White paper production: 3-4 weeks White paper draft: 48 hours
One language at a time 4+ languages simultaneously
Limited rapid response capacity 24-hour turnaround on breaking developments
20-30 major outputs per year 60-90 major outputs per year

What Inaction Costs (12-Month Horizon)

Quantified Impact

  • Lost productivity: £600K-£1M in staff capacity (40 fewer outputs at £15K-£25K staff cost each)
  • Missed influence windows: £150K+ in stakeholder value (6-8 critical diplomatic moments you can't respond to in time)
  • Competitive disadvantage: 18-month lag behind peer organizations who adopt AI now
  • Retention risk: £150K-£250K per staff replacement due to unsustainable hours and burnout

Minimum cost: £900K-£1.4M | Bootcamp investment: £4,500 | ROI: 200-310x

The Window is Now

If you adopt AI Fluency in early 2025, you establish a 12-18 month lead over peer organizations. By the time they catch up, you'll have:

The question isn't whether AI will reshape multilateral policy work. It's whether Starling Institute will lead that transformation or scramble to catch up.

The Half-Day Bootcamp

Duration: 5 hours 15 minutes (one intensive day)
Format: In-person preferred, virtual available
Participants: Full team (8 people)
Investment: £4,500

Schedule Overview

Time Session Key Activities
45 min Keynote: AI Fluency for Multilateral Impact Framework introduction, UN80/SG timing context, live demo of AI analyzing member state positions
15-minute break
90 min Working Session 1: Delegation & Description Platform capabilities workshop, task decomposition exercise, hands-on prompt engineering, build reusable templates
15-minute break
90 min Working Session 2: Discernment & Diligence Quality evaluation exercises, political nuance checking, ethics & governance workshop, create evaluation checklist
15-minute transition
60 min Agile Sprint: Real Work Application 4 teams (2 people each) tackle real Starling challenges, apply all 4 Ds, present outputs to leadership

What You'll Deliver (Day 1)

Prompt Library

15-20 reusable templates for UN analysis, stakeholder briefings, coalition mapping—tested and refined

Day-to-day use: Save hours on repeated tasks. When analyzing new member state positions, start with your tested template instead of from scratch. Instantly adapt briefings for different audiences (donors vs. member states vs. media) using audience-specific prompts.

Delegation Framework

Decision tree for when to use AI vs. human judgment, platform capability map, task decomposition methodology

Day-to-day use: No more guessing "should I use AI for this?" Follow the decision tree to quickly identify which tasks are AI-appropriate (e.g., synthesis, translation) vs. requiring human expertise (e.g., political strategy, relationship management). Speeds up project planning.

Quality Assessment Tools

Evaluation checklist for AI outputs, red flags guide, validation workflow for mission-critical work

Day-to-day use: Before sending any AI-assisted work to stakeholders, run it through your checklist: factual accuracy verified? Political nuance preserved? Diplomatic tone appropriate? Catches errors before they damage credibility. Standardizes quality across the team.

Governance Principles

Draft ethical guidelines, confidentiality protocols, transparency standards, stakeholder disclosure framework

Day-to-day use: Clear rules on what data goes into AI (never: confidential meeting notes; okay: public statements). Know exactly how to disclose AI assistance to donors. Protects organizational reputation and maintains trust with sensitive partners.

Real Work Outputs (Agile Sprint)

Four teams will produce tangible deliverables ready for real use:

Post-Bootcamp Support

Included: 2 weeks email support for technical questions and troubleshooting

Optional add-ons:

Success Metrics

Immediate (Day of Bootcamp):

30 Days Post-Bootcamp:

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Your Facilitator: Priscila Chaves

Priscila Chaves Website LinkedIn

Priscila brings 20 years of experience building AI and innovation systems that scale in complex, real-world environments—from global food systems to government policy to Antarctic science.

How Might Starling Institute Benefit from Her Experience?

Credentials

  • University of Oxford, Saïd Business School: Executive Diploma in AI for Business (2026-2027, in progress), Director's Award Scholar for "leadership delivering long-term benefit to sector/region"
  • University of Cambridge: Master of Studies (MSt) in AI Ethics & Society (2022-2024), Distinction on dissertation (first-class), recognised for originality and industry impact
  • Center for AI and Digital Policy: Certified AI Policy Researcher with distinction (2025), contributed to Uruguay's AI regulatory framework
  • Anthropic Academy: Certified in Teaching AI Fluency (Dec 2025), mastering the 4D Framework and assessment strategies
  • Additional certifications: Oxford AI Ethics, Regulation and Compliance Programme; IBM Certified watsonx Governance Lifecycle Advisor; Enterprise Design Thinking Coach

Recognition & Publications

Contact: priscila@innova10x.com

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