Units
1. Introduction to Artificial Intelligence in Mining Engineering: Boundaries, Validation, Responsibility and Ethics 2. Interpreting Geology and Drilling Data with Artificial Intelligence 3. Reserve/Resource Estimation and Geostatistics 4. Optimization in Open Pit and Underground Planning 5. Production, Fleet/Equipment Data and Predictive Maintenance 6. Drilling-Blasting and Fragmentation Optimization 7. Mineral Processing, Beneficiation and Process Optimization 8. Artificial Intelligence in Occupational Safety and Risk Management 9. Geotechnics: Slope Stability and Monitoring Data 10. Environmental Monitoring and Sustainability 11. Verification of Regulatory, Compliance and Reporting Standards 12. Mining Data Analysis with Python and the Frontiers of AI
Unit 11 / 12

Verification of Regulatory, Compliance and Reporting Standards

Gains:

  • Ability to position AI as a drafting and screening tool in the context of JORC, NI 43-101, UMREK and Turkish mining legislation
  • Ability to verify citation and item numbers while accelerating compliance checklist and report drafting with AI
  • Ability to apply the discipline of confirming the interpretation of legislation produced by AI with the approval of the official source and competent person (CP/QP).

Mining is a heavily regulated industry. Licensing, occupational safety, environment, explosives management and resource/reserve reporting; Each of these areas has its own legislation, standards and control. Throughout his career, a mining engineer constantly refers to legislation, prepares a declaration of conformity and undergoes inspection. In resource/reserve reporting, codes such as JORC (Australasia), NI 43-101 (Canada), UMREK (Turkish National Mineral Resource and Reserve Reporting Commission); National regulations apply regarding occupational safety and the environment. In this unit you will learn how to use AI as a drafting and screening tool in regulatory work, but why it is vital not to use any legislation without verifying the reference. Key principle: AI mimics regulatory text fluently, but frequently hallucinates the article number, version and limit; Each reference must be confirmed by the official source.

Why AI could be dangerous in legislation

A language model has learned "regulation language" very well from the texts it has seen; Can produce an item as if it were real, in the correct format and confidently. The problem is that this production is based on the text that "seems most likely" and not on the actual current text. The result: a non-existent substance number, an outdated limit, two confused regulations or an incorrect threshold. If a number or article in the legislation is incorrect, the result may be an administrative fine, license risk, non-compliance in inspection or legal liability. That's why regulation is one of the areas of AI that requires the highest verification discipline.

Source/reserve codes and competent person

The common logic of codes such as JORC, NI 43-101 and UMREK is that the resource/reserve declaration is transparent, material, competent and this declaration must be signed by a competent person (Competent Person / CP in JORC, Qualified Person / QP in NI 43-101, competent person in UMREK). AI helps explain the structure of these codes, the required headings and checklists, and create a report skeleton; but no resource/reserve declaration is valid without the independent evaluation and signature of a competent person. No AI-generated text replaces this signature.

Step by step: Using AI safely in regulatory work

  1. Separate the task. Use AI for "blueprint/skeleton/checklist generation", not as "current item/limit source".
  2. Identify the official source. Obtain the current official text of the relevant regulation (official publication, commission code).
  3. Produce the draft. Drafts AI report skeleton, compliance checklist and summary.
  4. Verify each attribution. Open and verify each item number, version and limit the AI ​​displays in the official text.
  5. Expert/competent person approval. Competent person for the resource/reserve; The responsible expert for OHS/environment evaluates and signs.
  6. Version and date note. Record the version of legislation you used and the date of confirmation.
Caution: Asking the AI ​​"what are the limits in this regulation" and using the answer directly is the most dangerous habit in the regulatory business. Correct flow: AI produces the draft, you verify from the official text, competent person approves.

Compliance checklists: the strength of AI

The safest and most efficient use of AI in legislation is in checklist and blueprint production. A framework for a report type, such as "what headings should be there, what documents should be added, what statements are required" saves a lot of time compared to writing from scratch. This framework is a verifiable framework; Each specific reference within is again confirmed with the official source, but the structure and completeness check is accelerated. So AI answers the question "what might I have forgotten", not the question "what is the exact item".

three mini cases

Case 1 — Fictitious item number. An engineer asks AI to reference a discharge limit in an environmental report; AI gives a confident regulation clause and number. The engineer becomes suspicious and opens the official text; Neither the item number nor the value matches the text. Gets the correct value from the official text. If he had not confirmed, there would have been a risk of non-compliance and penalty in the audit. Lesson: every item and limit is opened from the official source.

Case 2 — Speeding up with the report skeleton. A team prepares a UMREK-compliant welding report. They have the AI ​​extract the header structure required by the code and a completeness checklist; The sketch cuts off a few hours of work. The team fills each header with its own data, verifies each attribution against the official code, and the competent person evaluates and signs it. AI has accelerated construction; The team and competent person assumed the content and responsibility.

Case 3 — Version confusion (warning). An intern has the AI ​​produce a security regulation summary; AI mixes an old version with a current version and presents a changed requirement as if it were updated. This difference could be revealed in the audit. The expert compares it with the current official text and corrects it. Lesson: legislation is constantly updated; AI's version information is unreliable, verify the version you are using from the official source.

Copiable prompt templates

REPORT SKELETON PRODUCTION "Role: You are the mine reporting assistant. [JORC / NI 43-101 / UMREK]output the typical heading structure of a compliant resource/reserve report and the content that should be included in each heading as a skeleton. If you give a specific item number, label it 'TO BE CONFIRMED FROM THE OFFICIAL CODE'. Emphasize that the declaration requires a competent person (CP/QP) signature."

COMPLIANCE COMPLETENESS CHECKLIST"Produce a completeness checklist for the following report type: [report type]. What sections, documents, and statements should be included? Add a 'verify source from official text' note for each item. DO NOT give exact item number and limit; focus on structure and completeness."

CITATION VERIFICATION LIST"List EVERY legislation/standard citation and HERlimit value in the report draft below. For each, write from which official source (which regulation/code, which version) it should be confirmed. Collect the unverified ones under the 'PENDING CONFIRMATION' heading. Text:[paste]."

LEGISLATION SUMMARY (DRAFT)"Summarize the following legislation text (I am pasting it, from the official source) in plain language and itemize the practical requirements for mining operation. DO NOT ADD requirements that are NOT in the text; mark the ambiguous ones. DO NOT ADD items/limits from your own memory; just rely on the text I have given. Text: [paste]."

The critical nuance in the last template: you paste the legislative text from the official source; AI only summarizes the text you provide, it does not make up items from its own "memory". This is the safest use, minimizing hallucination.

Weak prompt / Strong prompt

WEAK PROMPT: "What is the mine wastewater discharge limit, what substance is it in?"

STRONG PROMPT: "Role: You are the legislation assistant. I will paste the current text of the relevant regulation from the official source. You just summarize the text I pasted with simple words and itemize the practical requirements. DO NOT ADD a limit or article number from your own memory. Mark the points that remain unclear in the text so that I can confirm it from the official source."

Comparison table: regulatory mandate and AI use

Quest

Is it safe

AI role

verification

Create a report skeleton

Yes

structure generator

competent person

Completeness checklist

Yes

control tool

expert

Summarize given text

Yes (you provide the text)

summarizer

Compare with source

Item number/limit generation

No (risky)

Using

Official text is required

Resource/reserve declaration

Draft only

draft

Authorized person signature

Common mistakes

  • Ask the AI about the limit/item and use the answer. The most common hallucination occurs here; Confirmation from the official text is required.
  • Not verifying the version. Legislation is updated; AI's version information is unreliable.
  • Publishing the resource/reserve declaration without the approval of a competent person. Codes override this.
  • Confusing two regulations. AI can collate similar texts.
  • Mistaking the draft for the final document. The draft speeds up the build; Responsibility for content and signature lies with the human.
Tip: In legislation, use AI as a “text processor” not a “text generator”: you provide the official text, AI summarizes/structures it. Thus, you minimize the hallucination field, making verification easier.

In summary

Regulatory and reporting is a high-risk and high-verification area of ​​mining. The AI ​​report skeleton is powerful and safe in completeness checklist and summarization (of the official text you provide). But it is risky in producing item number, limit and version; Each reference must be confirmed by the official source. Resource/reserve declarations are valid only with the signature of a competent person (CP/QP). The safest approach is to use AI as a text processor and not a text generator.

Application task

Select a report type and extract structure and checklist with templates "Report skeleton generation" and "Compliance completeness checklist"; Verify that each specific reference is marked with the "official source verification" tag. Then, summarize a legislative text you received from the official source with the "Legislation summary (draft)" template and check whether AI has added anything to the text. Finally, remove all citations in a draft text with the "Citation verification list" and identify those that are "awaiting confirmation".

checklist

  • [ ] I confirmed the item number and limits from the official text instead of asking the AI.
  • [ ] I recorded the version of the legislation I used and the date of confirmation.
  • [ ] I used AI not as a text generator but as a tool that processes the text I gave it.
  • [ ] I require qualified person (CP/QP) approval for resource/reserve declaration.
  • [ ] I marked each reference in the report as "confirmed/pending".
  • [ ] I verified by comparing with the source that the AI ​​did not confuse the two regulations.
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