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ResultsLab Coffee Collective

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​Let's Connect!

​Join us for a conversation to discuss "all things data" and explore ways to use data to drive meaningful decisions and stronger outcomes.

​6 Criteria for Ethical AI: How Nonprofits Can Lead with Values

​AI isn't future tense anymore. Business adoption jumped from 55% in 2023 to nearly 80% in 2025, and social sector organizations are keeping pace. That opens a rare window: nonprofits can step into AI on purpose now, or let tools and standards be set by industries that don't share our mission, values or accountability to community.

​In this Coffee Collective conversation, Kenzie Strong, VP, Impact + Innovation at ResultsLab, and Nick Blasi, Co-Founder of Personos, will walk through Ethical AI in the Social Sector: A Practical Call to Lead with Values. The position paper came out of ResultsLab's AI Learning Circle, where 18 social sector leaders from evaluation, data management, operations and service delivery worked on one question: What makes AI ethical and equitable in nonprofit practice?

​The answer is ARISE: AI for Responsible Impact, Safety, and Equity. It's a values-first framework with six criteria that give you both a moral compass and a practical guide:

  1. ​Keep humanity at the center: use AI to cut admin burden so people have more time to listen, support and connect.

  2. ​Empower people through learning: build skill and confidence through safe, hands-on experimentation.

  3. ​Commit to long-term stewardship: track effectiveness, not just adoption, and keep community voice at the center.

  4. ​Steward data with integrity: protect privacy, minimize and anonymize data, and hold vendors to high standards.

  5. ​Be transparent and accountable: tell people when AI is used, how it's used, and give them a choice.

  6. ​Advance equity and access: widen access, test for bias, and let frontline staff and communities shape how AI is used.

​We'll explore:

  • ​How to turn common AI fears into concrete guardrails your team can uphold

  • ​A practical roadmap: where to start, how to pick a low-risk first use, and how to build AI literacy

  • ​What funders can do right now to support responsible, equitable AI adoption

​Bring your questions, your hesitations and your examples.

​Meet the speakers:

​✨ Kenzie Strong, VP, Impact + Innovation, ResultsLab
Kenzie wrote the Ethical AI in the Social Sector position paper and led ResultsLab's AI Learning Circle.

​✨ Nick Blasi, Co-Founder, Personos
Nick co-founded Personos, an AI platform that helps organizations make better decisions, communicate clearly and collaborate well. His work sits at the intersection of personality psychology, technology and real-world practice. He focuses on how tools shape behavior inside institutions, and how well-designed AI can support human judgment in the moments that matter.

​This session is perfect for:

  • ​Nonprofit leadership + board members

  • ​Data, evaluation + program teams

  • ​Operations + technology leads

  • ​Funders + philanthropic partners

​Thursday, October 15 · 11:00–11:30 AM MT / 1:00–1:30 PM ET · Virtual

​Accelerate Impact with Meaningful Data Use
At ResultsLab, we partner with mission-driven organizations to determine which data is most meaningful, determine how it is collected, understood, and applied, to fuel more effective and efficient programs and deeper community impact. By capturing, understanding, and utilizing data, nonprofits turn insight into action. Let's chat.

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