AI Governance & Responsible Innovation Advisor (Volunteer)

AI Governance & Responsible Innovation Advisor (Volunteer)

PromiseTrust | Artificial Intelligence Governance, Ethics & Responsible Innovation

Organization: Mentor A Promise (MAP)

Division: PromiseTrust

Location: Fully Remote — United States

Type: Volunteer Advisory & Governance Role

Commitment: Approximately 5–10 hours per week

Minimum Commitment: 6 months

Reports To: Governance / Executive Leadership

Works Closely With: PromiseStack, PromiseShield, PromiseTrust, PromiseLearning, PromisePeople, PromiseMeasure, Executive Leadership, and other teams using or evaluating AI

About Mentor A Promise

Mentor A Promise (MAP) is a New York City–based nonprofit serving children and youth ages 5–18 experiencing housing instability through mentorship, education, literacy, social-emotional learning, creative expression, career development, advocacy, and community-centered opportunity.

As artificial intelligence becomes increasingly embedded in education, communications, technology, research, operations, creative work, and organizational decision-making, MAP wants to approach its use deliberately.

We want AI to expand human capability without weakening human judgment, privacy, safety, accountability, dignity, or trust.

Role Overview

MAP is seeking experienced AI professionals to help build and strengthen our approach to responsible artificial intelligence governance.

The AI Governance & Responsible Innovation Advisor will help MAP develop practical frameworks for evaluating, approving, using, monitoring, and governing AI across the organization.

This is not primarily an AI development position.

It is a governance role for professionals interested in questions such as:

Where should MAP use AI?

Where should we not use it?

What decisions must remain meaningfully human?

How should AI use involving children receive additional scrutiny?

What information should never be entered into particular AI systems?

How should teams evaluate new AI tools?

How do we identify bias, privacy, security, intellectual-property, accessibility, and safety risks?

What documentation and oversight should accompany higher-risk applications?

What should people know when AI meaningfully contributes to content, analysis, recommendations, or decisions?

The goal is not to slow innovation.

It is to make responsible innovation possible.

AI Governance Framework

Help MAP develop an organization-wide AI governance framework.

Support development of structures addressing:

• Acceptable and prohibited AI uses
• AI risk classification
• Tool evaluation and approval
• Human oversight
• Data governance
• Privacy
• Cybersecurity
• Youth safeguarding
• Bias and fairness
• Accessibility
• Transparency
• Intellectual property
• Vendor considerations
• Documentation
• Accountability
• Monitoring
• Incident escalation
• Periodic review

Help establish a lifecycle such as:

Use Case → Risk Assessment → Review → Approval → Implementation → Human Oversight → Monitoring → Evaluation → Reassessment

Governance should follow AI throughout its use—not end when a tool is approved.

AI & Youth Safeguarding

Help MAP think carefully about AI applications involving children and young people.

Evaluate additional considerations around youth-facing AI, educational technology, personalization, automated recommendations, generative content, conversational systems, data collection, profiling, and other emerging applications.

A tool being technologically possible does not automatically make its use appropriate for children.

Help establish stronger review standards where youth rights, safety, privacy, development, or well-being may be affected.

Human Oversight

Help MAP define where meaningful human review is required.

AI may assist with:

Research → Drafting → Analysis → Organization → Recommendations

But accountability remains human.

Support the development of safeguards against inappropriate reliance on automated outputs in areas involving consequential decisions, youth safety, personnel, legal matters, privacy, financial decisions, or other higher-risk contexts.

AI Risk Assessment

Develop practical methods for evaluating proposed AI use cases.

Consider questions involving:

Purpose → People Affected → Data → Model/System → Potential Benefits → Potential Harms → Human Oversight → Safeguards → Accountability

Help MAP distinguish low-risk productivity applications from uses requiring deeper governance review.

Not every AI use needs the same level of oversight.

AI Tool & Vendor Evaluation

Help establish criteria for evaluating third-party AI products and services.

Consider relevant factors such as:

• Data collection and retention
• Training-data practices
• Security
• Privacy
• Model limitations
• Transparency
• Administrative controls
• User access
• Vendor terms
• Intellectual property
• Reliability
• Accessibility
• Youth suitability
• Human oversight capabilities
• Organizational risk

A compelling demonstration is not a governance review.

Policies & Standards

Help develop and review practical AI policies, standards, procedures, and guidance for MAP teams.

Policies should be understandable enough that people can actually use them.

The objective is not to create a document that says MAP has AI governance.

The objective is to change how AI-related decisions are made.

Responsible Innovation

Partner with PromiseStack and other teams exploring AI-enabled products, workflows, and organizational capabilities.

Ask difficult questions early enough that teams can design around them.

Responsible AI should not operate as:

Build → Launch → Discover Risk → Add Governance

MAP should work toward:

Explore → Assess → Design Responsibly → Test → Review → Deploy Carefully → Monitor → Learn

AI Literacy

Help MAP leaders, volunteers, and teams understand the capabilities and limitations of artificial intelligence.

Contribute to education around topics such as:

• Generative AI
• Hallucinations and reliability
• Bias
• Human oversight
• Prompt and data privacy
• AI security
• Intellectual property
• Responsible research
• AI-generated content
• Deepfakes and synthetic media
• Automation bias
• Appropriate verification
• Emerging AI risks

People do not need to become AI experts.

They need enough understanding to make responsible decisions.

Cross-Functional Governance

Collaborate across MAP rather than allowing AI governance to become exclusively a technology responsibility.

PromiseStack may understand the technology.

PromiseShield may evaluate cybersecurity and privacy.

PromiseTrust may address governance and legal considerations.

PromiseLearning may understand educational use.

PromiseMeasure may consider research and measurement.

Program teams understand youth experience.

Executive leadership carries organizational accountability.

Responsible AI requires these perspectives to meet.

Governance Documentation

Help establish appropriate documentation for AI systems and use cases, including where appropriate:

• AI inventory
• Approved-tool registry
• Use-case records
• Risk assessments
• Decision records
• Human-oversight requirements
• Vendor reviews
• Incident records
• Monitoring plans
• Governance recommendations
• Periodic reassessments

MAP should be able to answer:

What AI are we using?

Why are we using it?

What information does it interact with?

Who approved it?

What risks were identified?

Who is accountable?

When will we review it again?

Qualifications

We are particularly interested in professionals with experience in one or more of the following:

• AI governance
• Responsible AI
• AI ethics
• Machine learning
• AI safety
• Technology governance
• Data governance
• Privacy
• Cybersecurity
• AI risk management
• Technology policy
• Algorithmic accountability
• Responsible technology
• AI product development
• AI assurance or auditing
• Legal or compliance work involving emerging technologies

Candidates should demonstrate strong judgment, critical thinking, collaborative ability, and the capacity to translate complex technical and governance concepts into practical organizational guidance.

Experience working with education, children, nonprofits, social-impact organizations, or vulnerable populations is particularly valuable but not required.

Who We're Looking For

This opportunity could be especially compelling for:

AI researchers who want to contribute beyond the laboratory.

Technology professionals interested in responsible deployment.

AI governance professionals looking to apply frameworks in a real organization.

Privacy and cybersecurity professionals exploring AI risk.

Lawyers and policy professionals working at the intersection of technology and governance.

Product leaders who understand both the opportunities and limitations of AI.

Researchers studying responsible AI, algorithmic accountability, human-computer interaction, or technology and society.

We welcome experienced professionals as well as emerging experts with substantive knowledge and a strong commitment to responsible technology.

What Success Looks Like

MAP develops a clear AI governance framework.

AI systems and use cases become visible rather than fragmented across teams.

Teams understand what uses are permitted and what requires additional review.

Higher-risk applications receive stronger scrutiny.

Youth-facing AI receives appropriate safeguards.

Human accountability remains clear.

Privacy and cybersecurity considerations are incorporated early.

Teams understand AI limitations.

Governance decisions are documented.

Policies evolve as technology changes.

And MAP develops a culture where the first question is not simply:

“Can AI do this?”

But also:

“Should we use AI for this—and if we do, what would responsible use require?”

What You'll Gain

This role provides an opportunity to help build an AI governance program within a growing mission-driven nonprofit.

Advisors can apply their expertise to real questions involving AI governance, youth-serving organizations, privacy, education, technology, creative work, operations, and responsible innovation.

You will also collaborate with professionals across technology, cybersecurity, privacy, education, research, governance, programs, and executive leadership.

Volunteer Commitment

This is an unpaid volunteer advisory position requiring approximately 5–10 hours per week with a minimum six-month commitment.

Consistent participation, communication, collaboration, and reliable follow-through are essential. Volunteers should provide at least two weeks' notice when ending their service whenever possible.

How to Apply

Please apply directly through Idealist and submit:

• A current résumé
• A cover letter describing your interest in responsible AI and Mentor A Promise
• Relevant publications, research, policy work, governance frameworks, technical projects, or professional portfolios when applicable

At this time, MAP volunteer opportunities are limited to individuals based in the United States due to legal, safeguarding, data-privacy, compliance, and programmatic requirements.

AI will continue to change. Good governance cannot depend on predicting every technology that comes next. Help MAP build something more durable: the questions, principles, safeguards, accountability, and human judgment necessary to decide how emerging technology should—and should not—serve our mission.