Building an AI policy roadmap can help mitigates risks such as data privacy violations, misinformation, and bias by defining accountability, usage boundaries, and review processes, ensuring AI supports, rather than undermines, your organization’s goals. Learn more how our team of nonprofit AI strategists can help you build a custom policy roadmap.
Mitigate AI Risk - Building a Policy Roadmap
As organizations begin experimenting with, or fully incorporating AI use into their operations, outlining acceptable use and boundaries around its use is important
Our Process Overview
Before you are met with regulatory roadblocks and compliance gaps that will become required from government or funder requirements, go through our 5 phases.
Phase 1
Groundwork & Organizational Readiness
Define the mission-aligned reasons for adopting AI and determine the scope,
including covered stakeholders (associates, volunteers, contractors, board members), tools, use
cases, and organizational jurisdictions.
including covered stakeholders (associates, volunteers, contractors, board members), tools, use
cases, and organizational jurisdictions.
Phase 2
Policy Design – Ethical & Responsible Use Framework
Articulate collective values regarding fairness, transparency, accountability, and privacy. Align policy with existing frameworks such as Microsoft's AI Governance Framework for Nonprofits and the White House AI Bill of Rights.
3
Implementation & Oversight
Review and approve AI-enabled tools, maintain an approved tools list,
and require software/security reviews for new tools.
Human Oversight & Quality Control: Mandate human review of AI outputs to check for bias,
accuracy, precision, and plagiarism.
and require software/security reviews for new tools.
Human Oversight & Quality Control: Mandate human review of AI outputs to check for bias,
accuracy, precision, and plagiarism.
4
Training, Monitoring & Continuous Improvement
Provide role-specific training on AI tools and responsible use.
Limit the proportion of work replaced by AI to no more than 20%, unless full automation is
intended.
Monitoring & Auditing: Conduct regular audits to ensure ongoing compliance, monitor
performance, and identify unintended consequences.
Limit the proportion of work replaced by AI to no more than 20%, unless full automation is
intended.
Monitoring & Auditing: Conduct regular audits to ensure ongoing compliance, monitor
performance, and identify unintended consequences.
5.
Governance & Accountability
Define roles and assign responsibility for AI oversight, including contacts
for questions and reporting violations, and procedures for data protection, provisioning, and
destruction.
for questions and reporting violations, and procedures for data protection, provisioning, and
destruction.
Service Description and Timeline
Timeline
Initiation Phase: 1 – 5 Weeks
Execution Phase: 6 – 12 Weeks
Wrap-up Phase: 13 – 14 Weeks
Deliverable
The final deliverable includes a custom draft of an AI policy that can be iterate for future needs.