ChatGPT Ethics Events 
CauseVox
MAY 9, 2023
With Open AI’s ChatGPT , nonprofits can generate high-quality emails in a fraction of the time it would usually take to write them. ChatGPT is as valuable a tool as they come, so let’s take a look at how you can leverage the power of AI to optimize your nonprofit email communication. What is ChatGPT?
The NonProfit Times
AUGUST 27, 2024
AI: Beyond ChatGPT Many professionals are familiar with ChatGPT and similar tools that are top of mind due to their accessibility. Nonprofits must take care to put accountability practices in place to use AI in ways that help reduce bias and uphold ethical considerations.
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Sharpshooter Communications
FEBRUARY 14, 2024
Nonetheless, I am fascinated by ChatGPT and other emerging tools. Sessions included both practical how-to demonstrations of emerging tools and thoughtful debate on the theoretical and ethical implications of the oncoming digital apocalypse…oops…sorry…I mean, the brave new world of AI and how it will make our lives better.
Grant Professionals Association
FEBRUARY 16, 2024
Nonetheless, I am fascinated by ChatGPT and other emerging tools. Sessions included both practical how-to demonstrations of emerging tools and thoughtful debate on the theoretical and ethical implications of the oncoming digital apocalypse…oops…sorry…I mean, the brave new world of AI and how it will make our lives better.
Strategic Grants
SEPTEMBER 17, 2024
AI has gained a lot of momentum in recent years and while it can be an asset, it’s important to use it in an ethical and transparent way. If you are using ChatGPT, think of it as your handy personal assistant, rather than your writer. Don’t be afraid to use your networks. Not all AI tools are created equally.
DoJiggy
MARCH 18, 2024
Making things more complicated, each of the most widely-used types of AI–such as ChatGPT , Gemini , Zapier , and Jasper – use machine learning algorithms for different usages. For instance, AI systems like ChatGPT are prone to errors, especially when faced with scenarios or data patterns not encountered during their training phase.
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