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- The Emergence of AI Engineering
Legal Compliance AI must adhere to laws and regulations, which are still developing globally. several ISO standards that can serve as starting points for implementing these pillars: - ISO 37301 – Compliance Raimund Laqua, PMP, P.Eng Raimund Laqua is founder and Chief Compliance Engineer at Lean Compliance Consulting Raimund is author of weekly blog articles and an upcoming book on Operational Compliance – Staying between He speaks regularly on the topics of lean, project management, risk & compliance, and artificial intelligence
- Motivations
This is usually the first and often the last place that companies look for compliance requirements. companies, perhaps unknowingly or ill advised, choose to leave hazards in place when they only view compliance The purpose of compliance programs is to ensure outcomes by effectively contending with risk.
- A Measure of Integrity
When it comes to risk and compliance programs a good place to start is by having clear and concise compliance
- IS EDM DEAD?
there is a class of documents where it is necessary to control the format and its use in order to meet compliance Google will get you close but not close enough which is a serious risk to compliance based processes. EDM also provides other capabilities to manage important aspects that are critical to compliance which However, the notion of living documents is seldom if ever used in compliance processes were what is critical These relationships describe the intention for each document and therefore essential from a compliance
- The AI Prediction Trap
This is where compliance and assurance come in.
- API RP 1173 – Taking Ownership of Your Obligations
An obligation-based compliance map is focused on identifying and meeting obligations. Compliance is built into the means and verified through measures of: effectiveness (MoE), compliance in compliance. for the most part documents and records substitute for evidence of compliance. advance compliance outcome by maturing capabilities.
- Crossing The Ethical Chasm of Data Mining
Collecting evidence is an important aspect in providing assurance of compliance. Why is this important to compliance? This is exactly why compliance needs to be careful. That is why it is so important that the first step to improve compliance begin with taking ownership
- Turning Best Effort Into Best Outcome
However, it is surprisingly the approach often adopted for meeting compliance objectives. Best Effort” approach is not enough and how you can turn it into a “Best Outcome” strategy to advance compliance this is a starting point but for all companies it is not the destination when it comes to advancing compliance Establish a governance program to continuously improve compliance effectiveness.
- The Stochastic Wrench: How AI Disrupts Our Deterministic World
This is fundamental to practices such as Lean and Six Sigma along with risk and compliance.
- Double Your Capacity to Deliver Total Value
This same principle applies to creating Total Value through productivity and compliance programs.
- Uncertainty: A Ruthless Master
In risk and compliance, we often assess the likelihood of significant events that could harm employees
- Engineered Regulation for AI Systems
Compliance, done well, knows how to turn an obligation into a promise that the accountable party actually Raimund Laqua, P.Eng., is the founder and Chief Compliance Engineer of Lean Compliance.












