SEARCH

beyond validation and testing after deployment; it’s a disciplined practice of designing systems for safety follow: Research and prototype development Direct deployment to production systems Hope to retrofit safety Engineers become professionally obligated to design systems that meet safety, reliability, and trust future concerns; they’re immediate risks to operational integrity, business continuity, and public safety to ignore, especially as they try to retrofit engineering discipline into systems never intended for safety

AI Risk Containment Architecture Industrial leaders in safety-critical, highly regulated sectors like I—such as predictive maintenance, process optimization, and deep analytics—without compromising the safety introduces unacceptable risks, as even minor algorithmic errors can lead to regulatory violations, safety industries can draw from proven frameworks like ICH Q8 in pharmaceuticals and ISO PAS 8800 in automotive safety

Organizations must navigate obligations across multiple domains: Safety protocols protecting employees That was handled elsewhere") Pressuring compliance professionals ("We'll miss our safety certification seemingly compliant operations—whether in financial reporting, environmental compliance, or product safety Organizational Values and Commitments: Most concerning are those who publicly champion quality, safety In complex environments, rigid adherence to every protocol may occasionally impede safety, quality, or

AI Safety Labels There is an idea floating around the internet and within some regulatory bodies that we should apply safety labels to AI systems, akin to pharmaceutical prescriptions. To effectively manage AI safety, regulatory frameworks (i.e., systems of regulation) must be real-time Why AI Safety is Different The prevailing approach to meeting compliance obligations (ex. safety, security In this field, "freezing" a model is a critical strategy to ensure consistent performance and safety.

AI safety regulations and responsible use guidelines are forthcoming. This will require building Responsible AI and/or AI Safety Programs to deliver on obligations and contend Ethical and forward looking organizations have already started to build out AI Safety and Responsible

Opportunity for Risk I've sat through countless meetings where we talk about being "proactive"—whether it's safety Think about your last major incident—safety, security, or quality related. When we run HAZOP s in process safety, we're asking: "What uncertainties exist here, and what risk opportunities types of uncertainty and the unique risk opportunities each creates—whether you're managing operational safety

To get there we will first consider AI Safety and the challenges that exist to design safe and responsible Even guard rails used to improve safety are for the most part blunt and crude instruments having their This sounds similar to on-going tensions between production and safety or quality or security or any AI Sustainability is perhaps what drives the need for AI safety, security, quality, legal, and ethical However, it sustainability that drives our need for safety.

This creates a false dichotomy between progress and safety. Technically , we must build robust safety mechanisms and engineering practices. While reduced regulation may accelerate certain types of commercial innovation, it risks neglecting safety We need breakthroughs in AI safety just as much as we need advances in AI capabilities.

Total Value Chain Analysis You can replace the word ethical with "safety" or "quality" or "environmental according to this law, the system (in this case the value chain) will always optimize away from "quality", "safety This dynamic may help explain the tensions that always exist between production and safety, or production That’s why we are seeing more roles in the “C-Suite” such as Chief Security Officer, Chief Safety Officer

This voice seems loudest in the safety field. In a recent article from Energy Safety Canada, The National Safety Association’s for Canada’s Oil and Process safety management, functional safety, and occupational safety are becoming more risk-based and What some are suggesting is something similar to TQM for safety – Total Safety Management (TSM). (Safety 2) to transform our approaches from safety management to actually managing safety.

This creates a number of tensions including that between production and compliance objectives such as: safety When it comes to safety, quality, and regulatory compliance this can create significant risk. Now, this line of thinking can (inappropriately) also be made regarding safety. If only workers acted in a safe manner we would not need safety systems. Safety systems only exist because of unsafe behaviors and the customer should not have to pay for that

shares his insights on how organizational structure, communication, and habitual practices advance safety culture from his recent book: Organizing for Safety – How structure creates culture. video, Hopkins outlines how organizational structures contribute (negatively and positively) to overall safety This video was shown during of the Oil and Gas Denmark – Task Force Zero 2019 safety conference.