AI Content Disclosure Policy:

Commitment to Accuracy and Human Oversight

EXECUTIVE SUMMARY: DECLARATION OF PRINCIPLES

Human-I-T utilizes Artificial Intelligence (AI) to enhance content creation speed and efficiency, supporting our mission scalability. We maintain a zero-tolerance policy for inaccuracies. AI is never permitted to replace human judgment, final content approval, or the provision of regulated advice. Every piece of AI-assisted content undergoes mandatory, multi-stage human review and fact-checking against proprietary internal data to ensure authenticity, expertise, and absolute trustworthiness.

SECTION I: THE STRATEGIC USE OF AI IN CONTENT CREATION

Human-I-T operates as a modern social enterprise, strategically leveraging AI tools to optimize high-volume, preparatory content tasks. This approach enables our human experts to reallocate time to mission-critical activities, such as deep donor stewardship, high-value technical compliance, and rigorous ethical oversight.

1.1 How AI Assists Our Workflow

AI output is treated strictly as a preliminary tool to accelerate the initial stages of content creation, never the final product.

Initial Drafting and Ideation: AI generates outlines, summarizes external industry reports, and produces initial draft copy for general blog posts, social media captions, and low-stakes email sequences, significantly reducing administrative burden and staff time spent on repetitive tasks.
Audience Segmentation: AI analyzes aggregated, non-PII supporter data to identify trends and create detailed audience personas, enabling customized communication that resonates with specific interests and values.
Content Optimization: AI tools are used for advanced editing and proofreading to ensure clarity, conciseness, and adherence to our internal style guide, making information more accessible and grammatically precise.

1.2 The Human Capital Dividend

The speed gained through AI integration is intentionally redirected away from basic drafting and into high-value human interaction and enhanced content quality assurance. This ensures that efficiency gains are reinvested in deepening relationships and fulfilling editorial rigor, strengthening our long-term sustainability.

SECTION II: THE HUMAN MANDATE (EXCLUSION ZONES AND ACCOUNTABILITY)

Human-I-T maintains strict “Exclusion Zones” where AI is prohibited from operating or requires mandatory, certified human oversight. This protects our stakeholders from legal liability and preserves the ethical integrity of our mission storytelling.

2.1 High-Stakes Regulatory Prohibition

AI is not a substitute for professional, licensed guidance. We define Organizational-Critical Content (OCC) as any material that, if erroneous, could lead to financial, legal, or physical harm to users or partners.

Strict Prohibition on Regulated Content: AI is strictly prohibited from generating content that could be interpreted as professional, licensed advice, including specific legal counsel, financial planning, or technical compliance guides for e-waste disposal or data security protocols.
Mandatory Professional Sign-Off: For all OCC, the final content, even if partially drafted by AI, must be reviewed and formally signed off by an appropriately licensed professional (e.g., a certified technician, Compliance Officer, or legal counsel).

2.2 Ethical and Social Exclusion Zones

Our policy adheres to strict ethical storytelling guidelines, particularly concerning the depiction of vulnerable populations.

Prohibition on Synthetic Storytelling: We prohibit the use of generative AI to create synthetic media, such as deepfake video, AI-generated images, or simulated voices, to depict or narrate the lived experiences of beneficiaries or vulnerable populations. This prevents the perception of manipulation and protects the dignity of individuals who share sensitive stories.
Authenticity and Consent: All personal narratives and testimonials must be provided and verified by human contributors, ensuring clear consent and fair compensation for their labor and lived experience.

2.3 The Mandate for Experience (E-E-A-T Standard)

To meet the E-E-A-T (Experience, Expertise, Authority, Trustworthiness) standard, all high-value content requires the integration of non-replicable human input and first-hand, real-world involvement that AI cannot generate.

Original Assets: Content must utilize original images, videos, or audio that show direct engagement, such as photos of our refurbishment facilities or direct engagement with our programs, providing visual evidence of the organization’s work.
Authentic Narratives: Authors must share genuine, first-hand stories, detailed case studies, and lessons learned from successes or mistakes that demonstrate direct involvement with the subject matter.

SECTION III: RIGOROUS HUMAN OVERSIGHT AND ACCURACY PROTOCOL

To institutionalize our commitment to accuracy, all content where AI has contributed, even minimally, must pass through a non-negotiable four-stage editorial review process.

3.1 The Mandatory Human Review Workflow

Workflow Step

Mandatory Human Action

Goal / Risk Mitigation

Stage 1: AI Smell Test & Brand Alignment

A human editor reviews the draft for a robotic tone, unnecessary length, or generic content ("fluff").

Eliminates low-quality language and ensures adherence to the Human-I-T brand voice and ethical principles.

Stage 2: Rigorous Fact-Checking and Verification (The Reverse Fact-Checking Protocol)

A dedicated fact-checker verifies every single claim, quote, and statistic using multiple authoritative external sources. Crucially, all proprietary impact metrics (e.g., the 57% social services metric) are reverse fact-checked against internal, non-public data ledgers.

Prevents “AI Hallucinations” and demonstrates that Human-I-T possesses unique information rooted in real-world program data that AI cannot synthesize.

Stage 3: Experience Integration

The human author or a designated content expert revises the content to integrate non-replicable human elements, such as original media, first-hand stories, and unique insights.

Satisfies the E-E-A-T “Experience” requirement, elevating content above mere informational synthesis.

Stage 4: Final Approval and Publication Sign-Off

A designated Content Manager or licensed professional provides formal sign-off, confirming the content has passed all editorial, accuracy, and ethical stages.

Establishes clear, auditable human accountability and confirms ultimate human responsibility for the published work.

3.2 Governance and Accountability

All departments utilizing generative AI must maintain an internal, auditable log of usage, recording the specific models used, the prompts provided, and the purpose of the generation. This technical accountability creates a comprehensive audit trail, bolstering our public Trustworthiness.

SECTION IV: TRANSPARENCY PROTOCOLS

Human-I-T is committed to the direct and overt disclosure of AI use to set clear audience expectations and build trust.

4.1 Direct Disclosure (Mandatory Content Labeling)

Every piece of content where AI has played a significant role in drafting, structuring, or generating elements (e.g., images) must include a clear, prominent label—our primary trust signal for E-E-A-T.

Content Labels: A clear, viewer-facing label such as “AI-Assisted Content” is required at the point of publication.
Context Notes: Where necessary, a context note is provided to detail how AI was used (e.g., “AI was used for initial statistical compilation; all narrative and personal testimonials were verified by human staff”).
Professional Disclaimers: For content touching on sensitive or high-stakes topics, a disclaimer explicitly states that the information is not a substitute for licensed professional advice.

4.2 Policy Review

Given the rapid evolution of technology and regulatory landscapes, this governance policy is a living document. An AI Oversight Committee is mandated to review and update this policy on a quarterly basis to ensure continuous compliance and alignment with emerging ethical and technical best practices.