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Nonprofit Membership Models: The What, Why, and How

Neon CRM

Check out the various nonprofit membership models that exist throughout the sector! Determining which model works best for you will then inform how your program will function and what member benefits will look like. Here are four of the most common types of membership models for nonprofits: 1.

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Donation Form Best Practices: Avoiding the Donor Tipping Model

Qgiv

Some platforms add the tipping model to donation forms with a confusing process to opt out, so donors perceive the tip to be mandatory to complete their donation. Donor tipping vs. Qgiv’s GiftAssist option With tipping models becoming a more popular option for nonprofits, you might wonder if it’s a good choice for your nonprofit as well.

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The Hidden Value of AI

NonProfit PRO

With so much attention being place on the external use cases of AI, and specifically generative AI, nonprofit leaders may be missing a hidden value of AI – internal use cases.

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Preparing Your Association for AI

Association Analytics

Types of AI Tools To start, it’s important to know about some of the models already available to the public. The most popular model today is called a Large Language Model (LLM) , which is trained on massive text datasets. LLMs are meant to produce conversational human language responses.

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A Blessing or a Curse? AI’s Place in The Nonprofit World

Greater Giving

Here’s how AI works: AI develops its ability to “think” over time through machine learning, which involves processing data through a mathematical model called an algorithm. The Risks of AI There are also some risks that come with using AI, though you should note that you can avoid many of these risks by putting the right guardrails in place.

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Study the Data, But Eat the Cake—Put the Human Factor Forward

.orgSource

Confirmation bias is the tendency to place the greatest value on information that supports your pre-existing beliefs. Machine Learning, predictive modeling, and natural language processing are a few of the ways AI makes data more meaningful. Researchers have identified over 180 types of cognitive bias. You’ll recognize these examples.

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Still Confused About AI, Learn the Facts A-Bot Us!

.orgSource

Mini Code, Multiple Connections “There is a tendency to think of large language models as massive programs,” David said. Like a child, with each success or failure, the model gains competence. We must be careful that our desires are the product of our best selves and make the world a better place.” What are AI’s strengths?

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