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Fundraising.AI

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About

Fundraising.AI is a collaborative focused on promoting the responsible and beneficial use of AI in nonprofit fundraising. They've created a framework for ethical AI practices and host an annual global summit. They offer educational resources, a podcast, and foster a community for professionals in the field. Their goal is to increase charitable giving through the ethical use of AI, prioritizing trust and transparency.

Platform
Web
Keywords
aifundraisingresponsible ainonprofitethics
Task
fundraising ai

Features

educational resources

community building

podcast

global summit

framework for responsible ai in fundraising

FAQs

What was the origin of Fundraising.AI?

The concept of Fundraising.AI was initiated by Nathan Chappell in 2018 as a direct response to the promise and inherent responsibility that AI brings to the charitable giving sector.

Who owns Fundraising.AI?

Fundraising.AI is a fully independent collaborative that exists to understand and promote the development and use of Responsible AI for nonprofit fundraising.

What are the ways in which Fundraising.AI supports efforts to instill Beneficial and Responsible AI practices for the fundraising profession?

Fundraising.AI supports efforts to instill Responsible AI practices for the fundraising profession in three main ways: through education, advocacy and research partnerships, and as a convener.

Why is there a need for a special Framework specifically for Fundraising?

The Fundraising sector represents a trillion dollar industry, built extensively on trust. Building a Responsible AI Framework for fundraising that protects and prioritizes trust is the single greatest imperative facing the modern nonprofit.

Why is this called a Framework versus a Pledge?

The Responsible AI framework is intended to be a living document that is capable of evolving as quickly as AI technology itself.

Is the Framework enforceable?

The Framework is not legally binding. Signatories are endorsing the spirit of the Framework to the best of their ability and knowledge.

Is the Framework a static document or will it be updated?

To remain relevant with advances in technology, the Framework will be reviewed and updated quarterly by the Fundraising.AI Advisory Council.

Who is responsible for managing the Framework for Responsible AI for Fundraising?

The Fundraising.AI Advisory Council is a volunteer group of 30+ subject matter experts and practitioners who volunteer as stewards of the Framework on a quarterly basis.

Is the Fundraising.AI specific to the United States?

Irresponsible use of AI will have consequences that reach across international borders. Fundraising.AI is an international effort enlisting membership and support from around the world.

What is the review process for updating the Framework?

Decisions impacting edits or changes to the Framework must be proposed and provided to all current Fundraising.AI Advisory Council members for review, and will take effect upon a documented two-thirds majority vote of the current Council members.

What does it mean to apply the Framework in practice?

At Fundraising.AI, we encourage organizations to treat AI as a distributed responsibility rather than an IT issue.

Who is the leadership behind Fundraising.AI?

Fundraising.AI is overseen by the Advisory Council, which consists of AI and nonprofit industry experts, who provide counsel on emerging trends, challenges, and opportunities in the responsible use of AI in fundraising.

Can I endorse the Framework as an individual?

Yes! Individuals are highly encouraged to endorse the Framework and can be powerful practitioners and proponents of Responsible AI.

Can my company endorse the Framework?

Yes! Organizations of all kinds, especially those that engage with fundraising directly or indirectly are strongly encouraged to endorse and implement the Framework.

What do I get if I endorse the Framework?

We believe that Responsible AI is everyone’s Responsibility. As such, the Framework for Responsible AI for Fundraising is open-source and intended to be interpreted differently at different organizations.

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