InfoLibrarian™ AI Integrity & Metadata Ethics
Our Commitment to Ethical Metadata Practices
- No LLM Training: We do not use customer metadata to train large language models
- Private by Design: Metadata remains governed, auditable, and isolated by customer
- AI is Assistive, Not Authoritative: All AI features are guided and explainable
- Human-Centered Governance: Automation supports data stewards, not replaces them
- Alignment with Enterprise Ethics: Our approach aligns with responsible AI standards
Want to Learn More?
We’re transparent by design. Talk to an advisor about how we protect your metadata and apply responsible governance automation.
InfoLibrarian Corporation™ is committed to the ethical and responsible use of artificial intelligence (AI) across our products, services, and consulting engagements. As a boutique technology company trusted by enterprise clients, we prioritize integrity, transparency, and accountability in everything we do.
This page outlines our core principles for AI safety, privacy, and ethical use — ensuring our technology benefits our customers and communities, without compromising trust.
Core Principles
- Transparency — We clearly disclose when AI is used in our products or services, and explain its purpose, scope, and limitations.
- Privacy by Design — Our solutions are architected with data minimization, protection, and secure processing in mind. We follow GDPR and CCPA principles regardless of geography.
- Human Oversight — AI systems augment—not replace—human decision-making. Critical decisions are never left solely to algorithms.
- Bias Mitigation — We actively monitor and evaluate AI models for fairness, avoiding discriminatory outcomes and unintended consequences.
- Security — All AI tools and services are developed and maintained under secure coding practices, with controls to prevent misuse or model leakage.
- Accountability — We maintain governance policies for AI usage, including internal reviews and external guidance when needed. We take ownership of our AI systems’ behavior.
How We Use AI
InfoLibrarian uses AI to improve automation, accelerate metadata discovery, support natural language interaction with our metadata catalog, and streamline governance workflows. AI assists—not replaces—our clients' human judgment and domain expertise.
Where third-party models are used, such as OpenAI or AWS AI services, we follow published usage guidelines and implement controls to ensure responsible and secure integration.
Customer Data Protection
We do not train AI models on customer data without explicit consent. Metadata ingested through InfoLibrarian software remains under the control and ownership of our clients at all times.
Any AI features involving data summarization, enrichment, or analysis are isolated and secure, with strict access controls and opt-in participation.
Commitment to Improvement
AI is evolving rapidly, and so is our policy. We continuously assess our practices, engage with industry experts, and evolve our AI governance approach to align with global best practices and regulatory expectations.
Questions or Concerns?
If you have any concerns about AI usage or would like to learn more about our AI governance program, contact our team:
📩 trust@infolibcorp.com