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- Engineered Regulation for AI Systems
The discipline we are missing has a name: engineered regulation. But there is another form of regulation, an engineering meaning. In engineering, that is not how it works. adoption — applying digital engineering and engineered regulation to build justified confidence that Assurance is not inspected in after the fact; it is engineered in.
- The Emergence of AI Engineering
"Some say we don't do engineering in Canada anymore, not real engineering, never mind AI engineering, As an engineering practice, it utilizes the engineering method embodied through design and prototyping Engineering Standards AI systems must be properly engineered, preferably by licensed professionals. The Call for AI Engineers The AI Engineering Body of Knowledge (AIENGBOK) The presentation culminated Raimund is a professional engineer with a bachelor’s degree in electrical / computer engineering from
- Engineering Through AI Uncertainty
As artificial intelligence continues to advance, AI engineers face a practical challenge – how to build This isn't merely a theoretical concern but a practical engineering problem that requires thoughtful Standard engineering approaches are effective here. 2. Whether formal regulation emerges or not, the engineering challenge remains clear. Rather than relying solely on static evidence, successful AI engineering requires ongoing observation
- Why Engineering Matters to AI
To use AI responsibly and effectively, we need to engineer it—with discipline, oversight, and purpose-built engineering—to ensure they are safe, reliable, and aligned with business and societal goals. Here are some key concepts behind engineering AI systems: 1. Engineering for robustness means testing models under various scenarios, stress conditions, and edge , systems and model engineering, adaptive regulation, AI safety, and ethical design.
- GRC Engineering: The Need for Practice Standards
At its core, this is requirements engineering and system design work. Yet how many self-proclaimed "GRC engineers" can actually design systems and processes that deliver meaningful Simply calling yourself an engineer doesn't make you one. Other engineering disciplines have practice standards and licensing for good reason. It's time to establish formal practice standards for GRC engineering—education requirements, competency
- AI Engineering: The Last Discipline Standing
What once required full engineering teams now happens through sophisticated prompt engineering and AI Where Traditional Engineering Still Matters Now this wave won't wash away all engineering domains equally - Align your engineering practice from traditional engineering to AI system design; adopt AI engineering The engineers who adapted early secured the valuable remaining roles. practice focused on advancing AI engineering in Canada.
- Digital Engineering as Strategy for AI in High-Risk Organizations
Digital Engineering as Strategy Organizations in high-risk industries are under pressure to adopt AI. AI can help keep those commitments when it is engineered to do so. Digital engineering gives AI the structure it needs to help answer these questions as you operate. AI, working from knowledge models and within engineered guardrails, turns that into prediction, planning Digital engineering is how high-risk organizations use AI to design, build, operate and regulate, so
- Have We Reached The End of Software Engineering?
The Decline of Engineering in Canada Over my career, I kept hearing "We don't do engineering in Canada This is exactly why software engineering struggles to establish itself as a legitimate engineering discipline Digital Engineering: The Next Generation of Software Engineering This is where digital engineering becomes As engineers, we need to establish digital engineering as a proper discipline with clear practice standards group on AI in Engineering, where he helps shape the future of professional engineering practice in
- Leveraging Systems Engineering for Effective Compliance
The document "Best Practices for Using Systems Engineering Standards (ISO/IEC/IEEE 15288, IEEE 15288.1 Systems engineering is the primary means for determining whether and how the challenge posed by a program We have observed that effective systems engineering processes and practices are essential for compliance If mission success depends on compliance success, make sure you incorporate systems engineering as a Lean Compliance offers an advanced program based on the principles of systems engineering along with
- When did Professional Engineering Become an Obstacle to Innovation?
The Future of Professional Engineering Over the years, I’ve seen a decline in professional engineering If anyone can perform engineering, then why do you need professional engineers? , network engineers, and even now prompt engineers, all of who do not have a license to practice. We have reduced professional engineering to the things that engineering does, and in the process, forgotten what engineering is.
- Engineered Compliance: Mapping Obligations to Outcomes in Regulated Industries
By Raimund Laqua, PMP, P.Eng., Founder and Chief Compliance Engineer at Lean Compliance I've spent 30 Raimund Laqua, PMP, P.Eng. is Founder and Chief Compliance Engineer at Lean Compliance Consulting, Inc
- Engineering Responsibility: A Practitioner's Guide to Meaningful AI Oversight
As a compliance engineer, I've watched AI transform from research curiosity to world-changing technology Engineering Responsibility: A Practical Framework As compliance professionals, we must engineer responsibility As compliance engineers, we must move beyond checkbox exercises to become true stewards of responsible But by addressing them directly and engineering thoughtful oversight systems, we can shape an AI future Let's rise to this challenge by engineering responsibility into every aspect of AI development and deployment












