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As generativeAI becomes more widely accepted, many leaders in the nonprofit and charity sector are no longer asking whether they should use it, but rather where else they can use it. But identifying potential uses is just one element of responsible AIgovernance. Understand where and how AI will be used.
GenerativeAI has the potential to be a powerful tool for nonprofit organizations, but it also requires board members to understand the challenges and ethical concerns it presents, along with its benefits. Insider Intelligence predicts that generativeAI adoption will climb to 77.8 million users by 2024.
Because nonprofits usually have tight budgets and small staffs, generativeAI in the form of ChatGPT and other natural language processing tools offer much needed support. The governance board and CEO should develop a strong AI framework that outlines the AI strategy and includes guidelines for usage.
Here, we’ll highlight some of the common ways your organization can use AI to further your mission. We’ll also touch on AI ethics and governance, and point out some of the AI challenges and considerations your board should take note of. AI can also reduce errors and eliminate redundancies.
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Click on over and give us a review on iTunes, please! Well, obviously generativeAI in particular with ChatGPT is on everybody's mind these days. But we should observe that AI is, it's been around for a while. But it's not just generativeai. Like this show? Mike Lenox (05:59): Yeah, absolutely.
In November 2022 I published a post titled “ generativeAI will go mainstream when it goes from playful to useful “, and I think you will agree that this transition is in full swing. 2023 was the year generativeAI went mainstream The pace of advancement in generativeAI has been astounding.
With its overnight success, the conspiracy theories about data being shared with China, coupled with an alleged hack of Deepseek, raised security concerns with the Pentagon, who immediately moved to block government employees from using it. Baichuan AI is pivoting toward specialized AI models for finance and healthcare.
You succeed in convincing one company and a government to adopt computers and learn to code much faster than their competitors /adversaries. These technologies will transform businesses and government agencies. Today, 100s of billions of dollars in private capital have been invested in 1,000s of AI startups.
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