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Community IT Innovators Nonprofit Technology Topics

Community IT Innovators Nonprofit Technology Topics

Hosted by Community IT Innovators

TechnologyInterviews guests

Episodes

325

Latest episode

Aug 2026

Language

EN-US

About the show

Community IT offers free webinars monthly to promote learning within our nonprofit technology community. Our podcast is appropriate for a varied level of technology expertise. Community IT is vendor-agnostic and our webinars cover a range of topics and discussions. Something on your mind you don’t see covered here? Contact us to suggest a topic! http://www.communityit.com

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60 recent
August 21, 2026Episode 6233 min

AI in Practice for Nonprofits with Carolyn Woodard and Erik Solce pt 1

Carolyn Woodard explores how a nonprofit marketer with no IT background can run a real AI project with Erik Solce, IT Business Manager at Community IT. For years Carolyn had marketing data scattered across nine separate channel dashboards and no way to see any of it in context. Every attempt to build a unified report stalled out. In part one of this case study, she and Erik walk through the three part structure that finally made the project doable, and why it took weeks instead of the months she expected. Erik shares what went sideways along the way, including a false path through Power BI, access and permission problems, and AI memory that kept reaching for a storage location the team had abandoned months earlier. Carolyn talks candidly about working with Copilot, Gemini, and Claude, why she moved between them, and what running into token limits taught her about choosing the right license. Carolyn and Erik discuss: The three part structure for AI enabled projects: the instigator who owns the problem, the tech coach who grounds it in reality, and the AI tool that helps analyze, research, and iterate. Why the subject matter expert has to stay involved in building the thing rather than waiting for someone to hand it over finished. What belongs in your IT foundation before you add AI, including an acceptable use policy, leadership ownership of IT strategy, and an IT roadmap to measure new tools against. Why an organization that has decided not to use AI still needs that decision written down in policy. How asking questions first, instead of writing a prompt, changed the project from a dashboard into a data lake. Resources Mentioned: AI Resources for Nonprofits Mission Aligned AI Adoption Model for Nonprofits Template: Acceptable Use of AI Tools in the Nonprofit Workplace Cybersecurity Readiness for Nonprofits Playbook How to Use AI Tools Safely at Nonprofits Nonprofit IT Management Reddit Community Microsoft 365 Copilot for Nonprofits Gemini through Google for Nonprofits Claude for Nonprofits _______________________________ Start a conversation :) Register to attend a webinar in real time, and find all past transcripts at https://communityit.com/webinars/ email Carolyn at cwoodard@communityit.com on LinkedIn on reddit/r/nonprofitITmanagement on the Community IT website Thanks for listening.

August 18, 2026Episode 6130 min

Nonprofit AI: Where do you get your information about AI?

Carolyn Woodard covers a question worth asking before your nonprofit makes any decision about AI: where is your information about AI coming from, and what does that source need from you? As a consumer you have had roughly a billion dollars of advertising aimed at getting you to adopt AI. That does not make what you are hearing wrong, but it does mean the messengers deserve a look. This episode maps the sources you are hearing from, including AI companies, funders and foundations, vendors and IT providers like Community IT, environmentally engaged nonprofits, and your peers in the sector. Each has a legitimate reason to be in this conversation, and each has a tilt. Carolyn then works through two recent articles that complicate the optimistic story: a Nonprofit Quarterly critique of the third wave of tech giving, and reporting on how fossil fuel companies are using AI to become more efficient in finding, extracting, and selling more fuel, adding un-tracked costs to the equation of AI harms and benefits. This episode covers: Why the third wave of tech philanthropy can't be expected to repair what the extraction phase created, since the harm has already happened and the decision makers remain geographically and institutionally separated from the communities bearing the costs. Why data centers have become a fulcrum in the public conversation, galvanizing opposition across the political spectrum in places like Texas in a way that a decade of theoretical pieces about machine intelligence never did. The self-reinforcing loop between AI and fossil fuels: Chevron building a Texas gas plant to power Microsoft data centers that run the AI helping Chevron pull out and sell more fossil fuel. Why AI literacy matters more than ever for nonprofit organizations - including those that have decided not to adopt AI at all. Three questions to bring to any source of AI information: who paid for this, what do they sell, and what is this source not going to tell me? Why designating an AI owner, a person or small committee who tames the fire hose of information, is worth doing whether or not your organization is adopting AI. Resources Mentioned: AI Use Case Library, Patrick J. McGovern Foundation Can Tech Philanthropy Solve What Tech Extraction Creates? Michelle Flores Vryn, Nonprofit Quarterly The third wave of American philanthropy, Nan Ransohoff, Substack AI Could Help Fossil Fuel Companies Create More Emissions, WIRED AI-driven productivity gains enable more CO2 emissions than they avoid in a global energy-economy model, Alpine et al., npj Climate Action AI Applications for Oil and Gas Companies Worsen Climate Pollution, Inside Climate News New every Tuesday. _______________________________ Start a conversation :) Register to attend a webinar in real time, and find all past transcripts at https://communityit.com/webinars/ email Carolyn at cwoodard@communityit.com on LinkedIn on reddit/r/nonprofitITmanagement on the Community IT website Thanks for listening.

August 14, 2026Episode 6030 min

Nonprofit IT Migration from Google Workspace to Microsoft 365 with Steve Longenecker

Carolyn Woodard talks with Steve Longenecker, Director of IT Consulting at Community IT, about a client's decision to migrate from Google Workspace to Microsoft 365, and what a real nonprofit migration project looks like once years of technical debt have piled up. The client's story is a familiar one: a lean two-person IT team supporting 300 information workers, years of default settings, and undocumented shared folders that quietly became a governance risk. Steve walks through why this organization is moving to Microsoft, from their existing use of Outlook and Windows devices to the stronger admin and device management tools Microsoft 365 provides, and why he keeps coming back to a moving-house metaphor: sometimes you need to declutter before you pack. This episode covers: Why Google Workspace's low barrier to entry can turn into years of undocumented shared folders, oversized mailboxes, and unclear file ownership if no one is minding governance. The real differences in how Google and Microsoft handle IT administration. Why this client, already using Outlook and Windows devices, is moving to Microsoft 365 for stronger device management and identity tools. The moving-house metaphor: purging old email and cleaning up 2,200 shared folders before migration so the new home isn't just as cluttered as the old one. Why leadership buy-in, often from a newly hired executive, is what finally gets a years-overdue technology migration off the ground. Resources Mentioned: Google Workspace vs. Microsoft 365 – Community IT Innovators – https://communityit.com/google-workspace-vs-microsoft-office-365/ Migrating Within Google to Use Shared Drives – Community IT Innovators – https://communityit.com/migrating-within-google-to-use-shared-drives/ Securing Google Workspace for Nonprofits – Community IT Innovators – https://communityit.com/webinar-securing-google-workspace-for-nonprofits/ Managing Google Workspace and Office 365 Together – Community IT Innovators – https://communityit.com/managing-google-workspace-and-office-365-together/ Growing Your Nonprofit With Google Workspace – Community IT Innovators – https://communityit.com/webinar-growing-your-nonprofit-with-google-workspace/ _______________________________ Start a conversation :) Register to attend a webinar in real time, and find all past transcripts at https://communityit.com/webinars/ email Carolyn at cwoodard@communityit.com on LinkedIn on reddit/r/nonprofitITmanagement on the Community IT website Thanks for listening.

August 11, 2026Episode 5931 min

Nonprofit AI: Jet Fuel Trade-offs, Agentic AI, Work and Learning Styles

Carolyn Woodard covers four AI stories with real implications for nonprofits this week, starting with Meta CEO Mark Zuckerberg's sprawling new manifesto on open source AI and the release of Muse Glimmer, a lightweight model anyone can run locally. Carolyn touches on why this matters for budget conscious nonprofits weighing vendor values, and why open source still requires more technical capacity than most organizations currently have on hand. From there, Carolyn digs into a story about Alaska Airlines using an AI tool called Flyways to suggest more efficient flight routes, saving fuel while keeping a human dispatcher in the loop on every final call. She uses it to revisit a three filter framework for thinking through AI's environmental tradeoffs: whether the benefit you are getting is worth the cost. It is a useful model for any nonprofit trying to weigh AI's real impact rather than just reacting for or against it. Next, a refresher on agentic AI, prompted by a listener question after last week's episode. Carolyn breaks down the difference between old school recommendation engines, generative AI, and agents that can take multi step actions on their own, plus what those tools are actually called inside Microsoft, Google, OpenAI, and Anthropic products. She also unpacks two recent incidents where AI agents from OpenAI and Anthropic got loose due to human error, and what that means for how carefully nonprofits should scope permissions before saying yes to an agent, and urges you to check with your policy and your IT team if you are unsure about the parameters of anything you are allowing an AI tool to do. Finally, Carolyn pushes back a little on the popular advice that everyone should write their own first draft before bringing in AI. She argues it really depends on your task, your learning style, and how you think best. Resources Mentioned: Zuckerberg manifesto pushes an open source approach on AI as Meta releases its latest model – AP via ABC News – https://abcnews.com/Technology/wireStory/zuckerberg-manifesto-pushes-open-source-approach-ai-meta-135519669 The FAA Wants to Reboot the Nation's Airspace. This Airline Shows How It Might Work – NPR – https://www.npr.org/2026/08/10/nx-s1-5872752/airspace-reboot-alaska-airlines-flyways OpenAI's Hacking Debacle Was a Human Mistake – WIRED – https://www.wired.com/story/openais-hacking-debacle-was-a-human-mistake/ OpenAI, Anthropic AI Hacking Sprees Illegal? – WIRED – https://www.wired.com/story/openai-anthropic-ai-hacking-sprees-illegal/ Should You Really Use AI to Write That First Draft? (And What to Do Instead) – TechSoup – https://blog.techsoup.org/en-us/posts/should-you-really-use-ai-to-write-that-first-draft-and-what-to-do-instead New every Tuesday. _______________________________ Start a conversation :) Register to attend a webinar in real time, and find all past transcripts at https://communityit.com/webinars/ email Carolyn at cwoodard@communityit.com on LinkedIn on reddit/r/nonprofitITmanagement on the Community IT website Thanks for listening.

August 7, 2026Episode 5828 min

AI Bias and Data Equity with Heather Krause

Carolyn Woodard explores why statistical analysis and evaluations are never neutral with Heather Krause, mathematical statistician and founder of We All Count. Heather built her career doing statistical consulting, evaluation, and causal analysis in the global south, work that eventually convinced her that the widespread belief in value neutral quantitative analysis is a myth. In this conversation, she and Carolyn dig into why every statistical task, even something as simple as calculating an average, is really a series of choices, and why those choices are never neutral. Using a deceptively simple classroom size example, Heather shows how the same data can produce two different, equally correct answers depending on whose experience you are measuring for, and why that matters far beyond the classroom. She and Carolyn also talk about a dairy cooperative project in Bangladesh, the discomfort people feel when the myth of neutrality gets challenged, and why transparency, not dumbed down science, is the real fix. The conversation wraps with a candid look at how AI fits into all of this: it is not value neutral either, and understanding its hidden choices may be one of the most useful data literacy skills nonprofits can build right now. Heather and Carolyn discuss: Why statistics and the application of statistics are not the same thing, and how every calculation, like choosing an average's denominator, embeds a value judgment and takes a perspective. A classroom size example showing how measuring from a teacher's perspective versus a student's perspective produces two different, defensible answers, and why the choice matters. A dairy cooperative project in Bangladesh that illustrates how whose worldview gets built into a statistical model shapes what the evidence ends up being used to say. Why transparency about the assumptions behind a data project, explained in plain language, builds more trustworthy evidence than technical jargon or hedged science. Why AI models are not value neutral, how they can hide the choices they make, and how nonprofits might use AI to build more transparent, equitable data practices. Resources Mentioned: We All Count - Heather Krause - https://weallcount.com/ Bangladesh Women Milking Example and Equity in Evaluations - YouTube - https://youtu.be/8gYtTYc2M0U?si=AryCMmUsNTYq7YoW _______________________________ Start a conversation :) Register to attend a webinar in real time, and find all past transcripts at https://communityit.com/webinars/ email Carolyn at cwoodard@communityit.com on LinkedIn on reddit/r/nonprofitITmanagement on the Community IT website Thanks for listening.

August 4, 2026Episode 5730 min

Nonprofit AI: Caution is Prescient

Carolyn Woodard covers why deliberate, thoughtful implementation is actually your nonprofit's competitive advantage, not a liability. The commercial AI sector is in a "move fast and break things" sprint. Tech companies are pouring billions into AI, racing to scale, pushing toward the edge of the market. Today's AI race feels similar. Nonprofits tend to think differently. You ask hard questions. You think about theory of change, root causes, impacts on your communities, unforeseen consequences, and alignment with your values. You don't adopt trends just because everyone else is. Concerned about climate impacts of your AI use? Carolyn covers her recent blog post on three filters to use as you make daily decisions about using AI: What are you using the AI to do (text is lighter than producing video), where are you (how stressed is your grid and your water supply in your location), and what are the benefits to consider as you consider the environmental impacts? Carolyn also walks through a practical framework for any AI adoption decision: Do you need it? Can you contain it? Do you understand what it might do? If you can't confidently answer yes to all three, then waiting isn't falling behind—it's being strategic. Key Takeaways: Nonprofit instincts to think deeply about change, impact, and ethics are strategically prescient, not conservative. When commercial AI implementations encounter consequences, organizations with inclusive adoption processes and clear policies will have a genuine competitive advantage. AI agents represent a new risk category; don't create an agent just because the tool offers the option. Understand what you're deploying. Experimentation is valuable for nonprofits, but human oversight and clear policies are essential, especially with agentic systems. Resources Mentioned: What Is an AI Agent? An AI agent is a program designed to operate independently toward a specific goal, rather than simply responding to individual prompts. Unlike a chatbot that waits for you to ask questions, an agent reasons about how to achieve its objective and takes actions on its own—such as reading files, sending emails, or accessing systems. You can program checkpoints where the agent asks for your permission before taking certain actions, but the agent itself decides the steps and sequences needed to reach its goal. This autonomy is what makes agents powerful for automating complex tasks, but it's also why they require careful oversight: because they're goal-directed and adaptive, they may find unexpected paths to achieve their objectives, which can create risks if not properly contained and monitored. What Is an AI Agent? – Build Consulting – https://buildconsulting.com/resources/podcast-rise-of-the-ai-agents/ Three Filters for Values-Aligned AI Decision-Making – Community IT Innovators – https://communityit.com/blog-values-aligned-ai-decision-making/ Claude Cybersecurity Incidents Disclosure – Anthropic – https://www.anthropic.com/news/investigating-incidents-cybersecurity-evals Fortune (mainstream): https://fortune.com/2026/07/31/anthropic-claude-escaped-test-hacked-three-companies-openai/ (paywall) TechCrunch (tech-focused): https://techcrunch.com/2026/07/30/anthropic-says-its-own-ai-models-breached-three-companies-during-security-tests/ Open AI Cybersecurity Incidents Disclosure - OpenAI - https://openai.com/index/hugging-face-model-evaluation-security-incident/ CNN (mainstream reporting): https://www.cnn.com/2026/07/22/tech/openai-hugging-face-ai-cybersecurity Malwarebytes (technical deep-dive): https://www.malwarebytes.com/blog/news/2026/07/openais-agent-escaped-its-sandbox-during-a-security-test Women in Climate Tech Cohort – Climate Collective – https://climate-collective.circle.so/cliematecollective Electricity Maps https://app.electricitymaps.com/map/live/fifteen_minutes Nonprofit IT Management Community – Reddit – https://www.reddit.com/r/nonprofitITmanagement/ New every Tuesday. _______________________________ Start a conversation :) Register to attend a webinar in real time, and find all past transcripts at https://communityit.com/webinars/ email Carolyn at cwoodard@communityit.com on LinkedIn on reddit/r/nonprofitITmanagement on the Community IT website Thanks for listening.

July 31, 2026Episode 5636 min

Nonprofit AI Case Study in Food Rescue with Joe Robbins

Carolyn Woodard talks with Joe Robbins, Chief Product Officer at Food Rescue US, about a real-world AI project built from the ground up: a predictive model that flags volunteer pickups at high risk of a last-minute cancellation. Food Rescue US connects volunteers with food donors and receiving agencies through an app similar to a delivery service, coordinating about 150,000 pickups a year across 27 states. When a volunteer cancels within 24 hours of a pickup, site coordinators scramble to cover it or risk the relationship with the donor. Joe and his team partnered with a supply chain researcher at Michigan State University to build an algorithm that predicts cancellation risk and flags pickups at high-risk for cancellation. Rather than automating any decisions outright, the AI triggers an alert to the site coordinator, who checks with the volunteer about confirming the pickup or cancelling early. During the pilot and rollout the AI tool flagged thousands of rescues that would have been last minute cancellations. Joe shares the practical lessons from a project that took a full year to scope, pilot, and improve: why good data capture has to come before any AI project, how a tightly scoped pilot funded through a grant reduced risk, and why keeping a human in the loop kept the tool trustworthy for staff and volunteers alike. He also offers a framework for nonprofits without an in-house AI researcher or technical staff to get started using AI for more than productivity tools. Joe and Carolyn discuss: How a predictive model helps Food Rescue US flag volunteer pickups at high risk of last-minute cancellation, giving site coordinators three to eight days of notice instead of a same-day scramble. Why the project deliberately keeps a human in the loop: the algorithm surfaces a risk score, but a site coordinator decides whether to act on it. Why clean, well-understood data capture has to happen before any AI project, and how to audit what data your organization already has. How building a pilot into a grant proposal made it easier to test small before rolling out more broadly. A framework for nonprofits without an in-house AI researcher: start with free assistant tools, learn what context AI needs to be useful, then look for a tightly scoped, well-documented problem to solve where you already have the data to use. What's next for Food Rescue US: using AI to take logistical pressure off site coordinators so they can focus on building community relationships. Resources Mentioned: Food Rescue US: https://foodrescue.us Tech Soup AI Impact Hour interview with Joe: https://engage.techsoup.org/c/upcoming-events/ai-impact-hour-for-nonprofits _______________________________ Start a conversation :) Register to attend a webinar in real time, and find all past transcripts at https://communityit.com/webinars/ email Carolyn at cwoodard@communityit.com on LinkedIn on reddit/r/nonprofitITmanagement on the Community IT website Thanks for listening.

July 28, 2026Episode 5519 min

Nonprofit AI: Resources Hub for Courses and Certifications

This week Carolyn Woodard covers how to get AI literate, moving from the big-picture policy questions she's been focused on lately back to a practical roundup: how do you and your staff build AI literacy, and do you need a certificate to prove it? She starts with free and low-cost nonprofit-specific options: PoliSync's four-module Certificate in Applied AI for Social Good, and Tim Lockie's hands-on AI for Anyone course through The Human Stack ($99). She also points to more general platforms like LinkedIn Learning, plus certifications straight from the source: Anthropic's free AI Fluency for Nonprofits course and paid Claude Certified Associate exam, Microsoft's AI Business Professional Certificate for Copilot users, and Google's Gemini certifications (for general knowledge, no previous experience necessary.) For a deeper resource, she recommends Cheryl Contee's book AI for Nonprofits and its companion AI4NP.org knowledge hub. Carolyn's take: if you like structured learning and taking a class, or need a credential for a job or your own development plan, get one; if you're a self-directed learner already experimenting hands-on, you can decide if you need that credential too. Either way, AI literacy is what lets you and your organization make informed, values-driven decisions about how, or whether, to use these tools. She closes on a bright note: data center moratoriums are gaining momentum in cities and counties nationwide, proof that community advocacy is having a real effect. This episode covers: Free and low-cost AI literacy courses for nonprofit staff. Certification options straight from Anthropic, Microsoft, and Google for teams already using Claude, Copilot, or Gemini. How to decide whether you actually need a certificate, based on your learning style and goals. A recommended book and knowledge hub for going deeper on AI at nonprofits. Resources Mentioned: Certificate in Applied AI for Social Good – PoliSync – https://www.polisync.org/ai-certificate AI for Anyone – The Human Stack – https://thehumanstack.com/academy/aiforanyone AI for Nonprofits Cohort (currently closed, see AI4NP.org below) – NTEN – https://www.nten.org/learn/nonprofit-tech-readiness/ai-for-nonprofits Career Essentials in Generative AI – LinkedIn Learning / LinkedIn for Nonprofit https://www.linkedin.com/learning/showcase/artificial-intelligence-22747885 Udemy Nonprofit Plan FAQ – Udemy Business – https://business-support.udemy.com/hc/en-us/articles/115016125628-Nonprofit-Plan-FAQ AI Fluency for Nonprofits – Anthropic Academy – https://anthropic.skilljar.com/ai-fluency-for-nonprofits Claude Certification Program – Anthropic / Pearson VUE – https://www.pearsonvue.com/us/en/anthropic.html AI Business Professional Certificate – Microsoft Learn – https://learn.microsoft.com/en-us/credentials/certifications/ai-business-professional/ Google AI Professional Certification - Google - https://grow.google/enroll-certificates/ai-professional-certificate-mid/ Gemini Certifications – Google for Education – https://edu.google.com/intl/ALL_us/learning-center/certifications/ AI for Nonprofits (book and knowledge hub) – AI4NP.org – https://www.ai4np.org/about Data Center Reporting Tracker – Erin Brockovich – https://www.brockovichdatacenter.com _______________________________ Start a conversation :) Register to attend a webinar in real time, and find all past transcripts at https://communityit.com/webinars/ email Carolyn at cwoodard@communityit.com on LinkedIn on reddit/r/nonprofitITmanagement on the Community IT website Thanks for listening.

July 24, 2026Episode 5428 min

AI Maturity Model for Nonprofits pt 2

In Part 2 of the AI Maturity Model for Nonprofits webinar, Carolyn Woodard and Mimi Yeh, Engagement Director at PTKO, and George Danilovics, VP of Technology at AHIP, pick up where Part 1 left off, moving from the framework itself to the harder question of what it takes to make AI adoption become quiet, boring, and everywhere. Mimi and George walk through what it looks like when AI stops being an initiative and becomes infrastructure, pointing to the moment when people stop announcing they used it, the way no one says "I used Outlook to send this email." The session closes with a candid Q&A on tool volatility, vendor risk, and how to address genuine ethical concerns about AI when your colleagues or community have serious reservations. Haven't listened to Part 1 yet? Find it in your podcast feed. This episode covers: Why you should map each team separately against the five maturity stages rather than assigning your organization a single score, and how that map becomes a diagnostic you can actually act on. Why AI competency training deserves the same recurring, role-based architecture as security awareness training, not a one-time brown bag. Action items you can start this week and this quarter to move one team forward one stage at a time. How to think about vendor risk and tool volatility when planning for long-term AI integration, and why documenting your strategy matters more than committing to any one tool, and lets you move between vendors more easily down the road. Practical guidance on addressing ethical and social concerns about AI, including when those conversations belong at the board level. Resources Mentioned: AI Maturity Model for Nonprofits Webinar – Community IT Innovators – https://communityit.com/webinar-ai-maturity-model-for-nonprofits/?utm_source=podcast&utm_medium=referral&utm_campaign=friday-tech-topics AI Journey Guide and Supplemental Resources – PTKO – https://ptko.io/ai-toolkit/ Using AI to Build a Data Lake for Nonprofits Webinar (August 19) – Community IT Innovators – https://communityit.com/webinar-ai-in-practice-for-nonprofits/ ?utm_source=podcast&utm_medium=referral&utm_campaign=friday-tech-topics Nonprofit IT Management Community – Reddit – https://www.reddit.com/r/nonprofitITmanagement _______________________________ Start a conversation :) Register to attend a webinar in real time, and find all past transcripts at https://communityit.com/webinars/ email Carolyn at cwoodard@communityit.com on LinkedIn on reddit/r/nonprofitITmanagement on the Community IT website Thanks for listening.

July 21, 2026Episode 5322 min

Nonprofit AI: Mozilla Report on AI as a Public Resource

Carolyn Woodard covers a growing counter-movement to concentrated AI power and what it means for nonprofits thinking about data sovereignty, open-source models, and their own agency in a moment that can feel overwhelming. Mozilla's recent State of Open Source AI Report frames this shift as a "Rebel Alliance" against winner-take-all AI development. Mozilla is deploying $1.4 billion to seed an open, trustworthy AI ecosystem, joined by more than 55 organizations. The report makes the case that open-source models are closing the capability gap with closed commercial systems, and that communities, not just corporations, can own and control their AI. Carolyn also introduces Current AI, a nonprofit backed by the Ford Foundation, MacArthur Foundation, and the French government, which is building what it calls a worldwide web of AI: free, public, and available to anyone the way the early internet was. One example: an offline device running AI in 22 Indian languages, built so communities own their data entirely. A Current AI grantee in Brazil is doing similar work with indigenous Amazon communities. This episode covers: Why Mozilla's open-source AI report matters for nonprofits skeptical of locking into commercial platforms with opaque pricing and data practices. How indigenous and Global South communities are leading on data sovereignty, and what that model could mean for mission-driven organizations here. The case for staying informed even if you're not ready to act: understanding the landscape is itself a form of agency. One for-profit alternative worth knowing: Change Agent AI, built by, for, and with the social sector, on its own infrastructure without big tech servers, currently $25 per seat. Resources Mentioned: State of Open Source AI Report – Mozilla – https://stateofopensource.ai Current AI – https://www.currentai.org/ Nonprofit Current AI Is Racing to Build the World Wide Web of AI – TechCrunch – https://techcrunch.com/2026/07/19/nonprofit-current-ai-is-racing-to-build-the-world-wide-web-of-ai-free-for-all/ Conference Spotlight: Data Sovereignty and the Ethics of AI – Vimeo – https://vimeo.com/1200022928/dce5a0cd1e NCAI Tribal AI Governance Briefing – National Congress of American Indians – https://hubs.la/Q04pD9650 Change Agent AI – https://thechange.ai Generative AI Is an Engineering Disaster – The Atlantic (paywalled) – https://www.theatlantic.com/technology/2026/07/generative-ai-engineering-disaster/687901/ New every Tuesday. _______________________________ Start a conversation :) Register to attend a webinar in real time, and find all past transcripts at https://communityit.com/webinars/ email Carolyn at cwoodard@communityit.com on LinkedIn on reddit/r/nonprofitITmanagement on the Community IT website Thanks for listening.

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