Remove Evaluation Remove Model Remove Technology Remove Test
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Study the Data, But Eat the Cake—Put the Human Factor Forward

.orgSource

Machine Learning, predictive modeling, and natural language processing are a few of the ways AI makes data more meaningful. Predictive modeling reveals future outcomes and trends with greater accuracy than traditional methods, enabling proactive decision-making and change management. Not necessarily so. It’s free with limited usage.

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Cookie Deprecation: 1 Thing You Need To Do, and 3 Things You Need To Think About

M+R

Third-party cookies are the core technology that allows media companies and advertisers to follow people around the internet. Here’s the issue: third-party cookies are kind of a terrible technology. That’s what our industry’s been doing — slowly but surely phasing this technology out. need to do before this year-end.

professionals

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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. These powerful technologies have inherent racial biases baked into them. Continuously test outputs across sensitive dimensions. Don’t get complacent.

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Doing good with AI tools: Navigating ethical considerations for the social sector 

Candid

Similarly, we saw evidence that the model was associating “People of Latin American descent” with “Incarcerated people.” We continue to refine the data we use for training and evaluating our grants auto-coding system. Large language models such as ChatGPT can make up facts and present them as true.

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Six Tips for Evaluating Your Nonprofit Training Session

Beth's Blog: How Nonprofits Can Use Social Media

I’m co-facilitating a session on Nonprofit Training Design and Delivery with colleagues John Kenyon, Andrea Berry, and Cindy Leonard at the NTEN Nonprofit Technology Conference on Friday March 14th at 10:30 am! There are two different methods to evaluate your training. to define the four levels of training evaluation.

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3 Tips to Prepare Your Nonprofit’s Team for AI Fundraising

Greater Giving

As technology continues to advance, nonprofits are turning to artificial intelligence (AI) to streamline and optimize their fundraising efforts, and for good reason. AI technology can be complex and unfamiliar to many people. AI is an evolving field, so it’s essential that staff members stay up-to-date and engaged with the technology.

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Putting the AI in Education: Stepping Toward Generative Artificial Intelligences 

sgEngage

The odd thing about living through a technological revolution is you think it’s just another Tuesday. These technologies can do everything from poetry to code to digital art to research to essay writing. The hype is problematic, but the revolution is real. But things forever changed when OpenAI released version 3.5 See you at #bbcon.