Responsible AI Checklist

Privacy and Security

Have we established robust security standards to protect personal and sensitive data?

Are we ensuring compliance with relevant data protection regulations?

Are we respecting the privacy of donors, beneficiaries, and stakeholders?

Have we committed to ethical data collection standards, including analysis and usage practices?

Are we ensuring that the data used is accurate, relevant, and collected with proper consent?

Are we actively addressing biases and disparities throughout the entire AI system lifecycle?

Have we developed a framework to monitor, evaluate, and design AI systems to prevent discrimination and ensure fairness, equality, and inclusiveness?

Are we sharing accountability with AI Actors for the AI applications that are developed, deployed, or utilized in grant-seeking?

Are we ensuring that the AI applications align with our organization's mission, values, and ethical principles?

Are we ensuring verifiability, audibility, appealability, remediability, and liability?

Transparency and Explainability

Are we providing clear explanations of AI methodologies, results, reporting, measurement, and potential impacts on participants?

Are we ensuring transparency in the development, deployment, and utilization of AI technologies?

Are we providing adequate visibility to consumers of AI ecosystem outputs when autonomous AI has been utilized?

Have we committed to the responsible use of tested and untested resources?

Are we staying informed about the latest developments in Responsible AI?

Are we incorporating best practices into our work within the grant-seeking profession?

Are we sharing responsibility in helping educate the broader grant-seeking community on Responsible AI best-practices?

Are we actively engaging with and learning from peers in the field of AI and grant-seeking?

Are we sharing experiences, challenges, and successes in Responsible AI for grant-seeking?

Are we aware of and abiding by applicable laws, regulations, and best practices concerning AI development and operations pertaining to grant-seeking, data protection, and AI systems?

Are we maximizing the positive social impact of AI in grant-seeking?

Are we minimizing any potential harm by focusing on the needs of beneficiaries and communities?

Are we considering the long-term sustainability and environmental impact of AI technologies?Are we advocating for sustainable AI practices within our organization and the broader grant-seeking community?

Responsible AI Checklist

Privacy and Security

Data Ethics

Inclusiveness

Accountability

Transparency and Explainability

Continuous Learning

Collaboration

Legal Compliance

Social Impact

Sustainability

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