FAQs

FAQ
Why does VHR Labs use AI?

We use AI to:

  • Enhance virtual HR advisory services

  • Analyze survey and diagnostic data efficiently

  • Generate HR insights, benchmarks, and summaries

  • Improve learning tools, templates, and analytics

AI helps us scale expertise and insights, while keeping humans at the center of decision-making.

No.
AI supports and augments human expertise—it does not replace it.

Our tools are designed to:

  • Assist analysis

  • Highlight patterns

  • Offer structured guidance

Final decisions always remain with people and organizations.

No.
VHR Labs does not use AI to make fully automated decisions that:

  • Hire, fire, promote, or discipline individuals

  • Create legal, financial, or employment outcomes

AI outputs are advisory and informational only.

Depending on the service, AI may process:

  • Survey and diagnostic responses

  • HR metrics and structured organizational data

  • Open-ended text responses (e.g., feedback)

  • Usage and interaction data

Whenever possible, data is aggregated and anonymized.

Yes.
We apply strong data protection practices, including:

  • Secure systems and access controls

  • Limited, purpose-based data processing

  • Confidential handling of HR-related information

All data processing follows our Privacy Policy and applicable data protection laws.

No.
We:

  • Do not sell personal or organizational data

  • Do not allow customer data to be used to train unrelated external AI models

  • Use data only for the purposes clearly stated

We take fairness seriously:

  • We design AI use cases to minimize bias

  • We review outputs for consistency and fairness

  • We avoid discriminatory or exclusionary applications

AI is not a substitute for inclusive HR judgment.

Where feasible:

  • Participation in surveys and diagnostics is voluntary

  • You may choose not to provide certain information

  • You may withdraw consent subject to contractual or legal requirements

Contact us if you have specific concerns.

AI insights are best-effort outputs based on available data and models.

While we aim for high quality:

 

  • AI outputs may be incomplete or context-limited

  • Users should validate critical insights independently

  • Professional judgment should always be applied

Yes, in certain tools and advisory services.

Generative AI may be used to:

  • Summarize information

  • Draft guidance or frameworks

  • Support learning and diagnostics

Generative outputs are reviewed and contextualized where appropriate.

Yes.

  • Surveys & diagnostics: AI focuses on pattern detection, aggregation, and benchmarking

  • Advisory & tools: AI supports structured guidance and learning

In all cases, AI does not act independently.

  • Identifiable data is retained only as long as necessary

  • Aggregated and anonymized insights may be retained longer for research and benchmarking

  • Retention follows our data retention policy

At VHR Labs, we believe Responsible AI is not just about technology—it’s about trust, transparency, and human dignity.

AI should empower people, not replace them.