Ensure your AI aligns with your values, protects vulnerable populations, and strengthens donor trust.
Third sector organisations leverage AI to amplify social impact—but face unique ethical obligations to the communities they serve. The Bridge Framework helps charities, NGOs, and non-profits implement governance that protects mission integrity while maximizing beneficial outcomes.
Start with the impact assessment to evaluate how your AI systems affect vulnerable populations and align with your mission values.
Trusted by non-profits worldwide committed to ethical AI
Your mission depends on trust. AI governance protects that trust while amplifying your impact.
Many third sector organisations work with marginalized communities, refugees, children, or individuals in crisis. AI systems serving these populations require heightened ethical standards and safeguards.
Protection = Responsibility
Foundations, grant-makers, and individual donors increasingly expect responsible technology practices. Demonstrable AI governance strengthens funding proposals and accountability reporting.
Governance = Credibility
AI systems that inadvertently perpetuate bias or harm contradict social impact missions. Governance ensures AI serves your values, not undermines them.
Technology serves mission
"Third sector organisations are often first to serve marginalized populations with AI—and first to face the consequences when systems fail."
The Bridge Framework ensures your AI deployment upholds the ethical standards your stakeholders expect while maximizing positive social outcomes.
Resource-constrained, mission-driven solutions designed specifically for non-profits.
Non-profits operate with constrained budgets, making expensive AI governance consultants or dedicated ethics teams often unaffordable.
Third sector staff typically lack technical AI backgrounds, yet increasingly use donated or low-cost AI tools that require governance oversight.
Non-profits want to use AI to amplify impact, but fear inadvertently harming the vulnerable communities they serve.
Foundations and grant-makers increasingly require responsible AI practices, but requirements vary and can be complex to navigate.
Governance guidance tailored to the AI systems non-profits most commonly deploy.
AI systems matching individuals with services, housing, legal aid, or humanitarian assistance
Governance Priorities:
AI analysing programme effectiveness, predicting outcomes, or optimising service delivery
Governance Priorities:
AI identifying at-risk individuals (abuse, exploitation, trafficking) or prioritising interventions
Governance Priorities:
AI chatbots providing crisis support, legal information, or connecting people to services
Governance Priorities:
AI optimising donation asks, identifying major donor prospects, or personalizing communications
Governance Priorities:
AI translation for multilingual programmes or accessibility tools for disabled beneficiaries
Governance Priorities:
Board-approved, resource-conscious implementation designed for volunteer-supported organisations.
Build understanding
List all AI tools currently in use
Present AI governance basics to board
Designate staff or board member to lead
Understand current state
Use free online assessment tool
Identify highest-risk AI applications
Gather staff and beneficiary input
Establish framework
Customize template for your mission
Simple process for AI adoption decisions
Present and gain board endorsement
Put into practice
Brief all staff on new policies
Review current tools against policy
Inform stakeholders of governance approach
Mission-aligned organisations deserve accessible governance resources.
Non-profits implementing the Bridge Framework report strengthened missions and increased impact.
Organisations including the Bridge Framework in grant applications demonstrate systematic AI governance to foundations. This strengthens proposals and helps secure funding for AI-assisted services.
Legal aid nonprofits have successfully expanded AI-assisted matching services with foundation support.
Framework assessment processes help identify algorithmic bias and fairness issues before deployment. This prevents potential harm to vulnerable populations and protects mission integrity.
Refugee support organisations use bias detection to ensure equitable service delivery.
Demonstrating AI governance in annual reports and communications builds donor trust. Showcasing responsible innovation resonates with funders seeking accountability and transparency.
International development NGOs report stronger donor relationships when highlighting governance practices.
Join non-profits worldwide implementing responsible AI governance that amplifies social impact.
Impact assessment tailored for non-profits
Complete implementation guide with templates
Connect with other mission-driven organisations
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