HHS · no agency ID · record R0728

Mining.AI

Department of Health and Human Services · HHS/CDC

Overview

Development stage: In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: Not reported
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Science
Operational functions: Chatbot or virtual assistant Derived by keyword rules; see methodology

Problem the AI is intended to solve

Mining.AI is an innovative initiative led by a small team at NIOSH tasked to develop a domain-specific generative LLM AI platform focused on improving health and safety in the mining industry. The project consolidates NIOSH's latest peer-reviewed research and safety knowledge to support decision-making, hazard prevention, and incident response.

Expected benefits

•Accelerates Access to Critical Safety Knowledge Mining.AI enables instant retrieval of NIOSH mining research, technical reports, and best practices, replacing slow manual searches through multiple archives. •Supports Faster, Safer Decision-Making Frontline professionals, engineers, and safety managers can query the AI to get tailored responses grounded in NIOSH-validated scientific evidence. •Preserves Expertise Encodes decades of institutional knowledge into a reusable, interactive platform, mitigating the impact of staff turnover and retirements. •Promotes Research Translation Converts dense, technical research into actionable language accessible to a wider range of users, including mine operators and workers.

System outputs

A NIOSH specific internal chatbot tool that researchers can interact with to assist in the digestion of all previous NIOSH published articles.

Technology

AI classification: Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.
System name(s): Not reported
Custom-developed code: Not reported
Public source code: Not reported

Sourcing

How it was built: Not reported
Vendor (as reported): Not reported
Vendors (standardized): None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII: Not reported
Privacy Impact Assessment: Not reported
Authorization to Operate: Not reported
Demographic features: Not reported
Training and evaluation data: Not reported
Federal Data Catalog: Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported