Fundraising.AI

The Framework

A Framework toward Responsible and Beneficial AI for Fundraising

Working together for Fundraising.AI that supports a vibrant philanthropic sector.

While many Responsible and Beneficial AI frameworks exist within the for-profit and nonprofit sectors, there are no existing frameworks that address the fundraising profession, which represents almost $500 billion annually in the United States, helping to support millions of charitable missions worldwide.

We aim to change that.

About The Framework

Collaborative Initiative Driving Ethical Innovation and Trust in the Nonprofit Sector

The Fundraising.AI collaborative is a member-driven initiative supporting those working within the fundraising profession with the opportunity to collectively learn about Responsible and Beneficial AI, demonstrate their leadership around the subject, support best practices of Responsible and Beneficial AI applications, and support building a thriving charitable giving sector.  The Framework for Responsible and Beneficial AI for Fundraising is intended to maximize the benefits of AI for fundraising purposes while minimizing the risk of damage to the hard-fought public trust of the nonprofit sector.

A Framework toward
Responsible and Beneficial AI for Fundraising

The Framework for Responsible and Beneficial AI for Fundraising is intended to maximize the benefits of AI for fundraising purposes while minimizing the risk of damage to the hard-fought public trust of the nonprofit sector.  

Addressing the increasing speed at which technological capabilities are developed, the Framework here (presented as guidelines) will be reviewed and amended biannually, or as needed to address these advances. 

In coordination with International AI guidelines and nonprofit best practices, the Fundraising.AI framework aims to accelerate the development, adoption, and benefits of Responsible and Beneficial AI for entities using artificial intelligence for charitable fundraising purposes.

The Framework below should be incorporated into ethical standards, business, and hiring practices and built into the overall design of AI ecosystems. The primary responsibility for developing Responsible and Beneficial AI systems must reside collectively with individuals, institutions and corporate vendors that fund, develop, deploy, utilize, maintain and monitor these systems.

Fundraising.AI Actors must protect personal and sensitive data by following robust security standards within our respective roles, maintaining compliance with relevant data protection regulations, and respecting the privacy of donors, beneficiaries, and stakeholders.

These principles should be part of all phases of the AI system lifecycle, including;

1. Address consent as appropriate,
2. Control over the use of data,
3. Ability to restrict data processing,
4. Right to rectification,
5. Right to erasure,
6. Right of accessibility,
7. Right of objection,
8. Adherence to privacy laws.

Commit to ethical data collection standards, including analysis and usage practices, ensuring that the data used is accurate, relevant, and collected with proper consent. 

Actively address biases and disparities throughout the entire AI system lifecycle, by developing a framework to monitor, evaluate and design the AI systems through principles including;

1. Non-discrimination and prevention of bias,
2.  Representative and high quality data,
3. Fairness,
4. Equality,
5. Inclusiveness in impact,
6. Inclusiveness in design. 

Share accountability with Fundraising.AI Actors for the AI applications that we develop, deploy, or utilize in the fundraising profession, ensuring that they align with our organization's or client's mission, values, and ethical principles that are;

1. Verifiable and replicable,
2. Auditable,
3. Appealable,
4. Remediable,
5. Liable. 

Within reasonable efforts to safeguard corporate IP, will be transparent in the development, deployment, and utilization of AI technologies, providing, requiring or requesting clear explanations of AI methodologies, results, reporting, measurement, and potential impacts on participants. In addition, we will provide adequate visibility to consumers of our AI ecosystems outputs when autonomous AI has been utilized.

Commit to the responsible use of tested and untested resources while staying informed about the latest developments in Responsible and Beneficial AI, incorporating best practices into my work within the fundraising profession, and to share the responsibility of helping educate the broader fundraising community on Responsible and Beneficial AI best-practices. 

Actively engage with and learn from my peers in Fundraising.AI, sharing my experiences, challenges, and successes in Responsible and Beneficial AI for fundraising. 

Commit to being aware of, and abiding by, applicable laws, regulations, and best practices concerning AI development and operations pertaining to fundraising, data protection, and AI systems. 

Strive to maximize the positive social impact of AI in fundraising while minimizing any potential harm by focusing on the needs of beneficiaries and communities.

Commit to considering the long-term sustainability and environmental impact of AI technologies and advocate for sustainable AI practices within my organization and the broader fundraising community. 

In support of the Fundraising.AI collaboration, we endorse the spirit of the Framework toward Responsible and Beneficial AI for Fundraising to the best of our ability and knowledge.

Name
Dahkwei TSENG
Craig Shelley
RUVAKO NYEREZA
Jose Martinez
Ryan Sabot
Christopher Shinbur-Copley
Ekaterina Fedosova
Kristy Rupe
Nico Lep’R
Paul Beaulieu
Amanda Hoffman
George kodipo
Candice Jayde
Felipe Ribeiro
Dale Wilkins
Pamela Ycaza
RUVAKO NYEREZA
Kate Maiurro
SATYA TARUN
Adam Hertzman
Yale Kirkland
Michael Smullen
Molou
Colleen Wood
Philipp Reiber
Sabella Neal
Drew Chelosky
Thomas Trapp
Keegan Myers
Dusty Rhodes

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