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4 Ways Nonprofits Can Start Using AI in 2024

Nonprofit Tech for Good

These innovative tools are revolutionising tasks by saving hundreds of hours of manual work through aiding in campaign creation, categorising and drafting email responses, assisting with content creation, and even automating donation processes to personalise and enhance the donor experience. The ChatGPT Plus Plan offers immense value.

Policy 334
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How to Tackle Content Migration with Ease

Forum One

Of the many tasks you will tackle in the course of launching a new website , one of the most important ones is content migration : the process of populating your new website with the content that is going to tell your story. Once the website is built—the scaffolding, structure, and design—your content is what brings it to life.

Content 76
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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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3 Strategies To Elevate Your Association’s Impact in the New Year

Association Analytics

Observe to learn members’ preferences and interest You likely have data on the purchases your members are making, the events they’re registering for and the content they’re downloading. There are massive benefits to using AI, but a policy that shapes how your team uses it is an important starting point.

Impact 169
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If Racial Equity is Our North Star, How Can We Navigate Racial Bias in AI/LLMs?

John Kenyon

For nonprofits and grantmaking organizations committed to racial equity, using artificial intelligence (AI) and large language models (LLMs) raises important concerns. In both cases, the racial biases of those technologies could lead to skewed, insensitive, or inadequate content. Define clear “red line” policies.

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Top Ten Data Challenges (And Solutions) for Associations

Association Analytics

Older models tended to be AMS-centric, leading to siloed data, static reports, and that trapped feeling. Solution : Solve this challenge by creating a data capture policy. You might use inconsistent content or course tagging, or team members might use a variety of names for one type of offering. Unsure where to even begin?

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AI for Social Media: Supercharge Your Copy, Images & Videos

Forum One

Here are a few use cases we’ve seen (and used ourselves): Brainstorming content topics. Ask a generative AI model to act as your target audience (giving it as much anonymized context as possible). Think about these factors—audience, timing, content, and placement—and where AI can boost your efforts.