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332 results found for "Safety"
- Do we need Professional Engineers?
applied sciences such as: computer, sustainability, environmental, bio-medical, social, cybersecurity, safety , aerospace, risk, process safety, and many many more – most likely hundreds of fields. For example, the use of engineering stamps on drawings as a way to help provide assurance of public safety We also need their commitment to public safety and to do good which requires a modern day stamp of assurance
- Compliance Programs and Systems
What do quality, safety, security, sustainability, environmental, regulatory and ethics programs have
- Introducing the Record of Assurance
mission success, start with a Golden Thread Diagnostic: a fixed-scope assessment of one program — in safety
- The Triple Threat of Effective Risk Management: Ensuring, Insuring, and Assuring
ensuring that a building has adequate fire protection systems or that employees receive comprehensive safety By transferring these irreducible risks to an insurance company, organizations can create a safety net
- Risk Planning is Not Optional
every future change before it is made is evaluated against how it impacts the design and associated safety
- How to align operational objectives with organizational values
Similarly, if the goal is both productivity and safety then the system will optimize for both. identifying and documenting commitments (i.e. promises) to organizational obligations associated with safety
- Why Compliance Must Speak Up About AI
Stakeholder Value is everything an organization delivers to all of its stakeholders: quality, safety, A safety manager's role becomes: conduct risk assessments, track corrective actions, deliver training Compliance, safety, and quality professionals are the people who know what these roles actually do.
- AI's Category Failure
This is like having the same safety regulations for bicycles and fighter jets because both involve "transportation Instead, it creates frameworks around containment, safety systems, operator licensing, and emergency treats powerful general-purpose AI models like GPT-4 as requiring transparency rather than the stringent safety to create emergent system behaviors, identifying failure modes across the entire system, building in safety
- Regulating the Unregulatable: Applying Cybernetic Principles to AI Governance
frameworks that optimize for efficiency, innovation, or economic advantage while systematically eroding the safety
- Why You Need Compliance Engineers
management, and social components to work together as a system to achieve compliance outcomes such as: safety Engineering principles related to safety, security, climate change, environmental, etc. Management programs and standards: quality, safety, environmental, sustainability, security, IT, etc. In keeping with these basic tenets, professional engineers shall: Hold paramount the safety, health and welfare of the public and the protection of the environment and promote health and safety within the
- Exploring Potential Assurance Models for AI Systems
Verification and Validation (V&V) The medical device life-cycle model, known for its stringent focus on safety focus on maximizing the asset’s value and performance, the Medical Device approach would prioritize safety organizations create a robust, multi-faceted approach to managing AI risk, reliability, performance, and safety
- Third-Party AI Risk: Are You Covered?
systems, algorithms, or data used by external partners don’t meet your organization’s standards for safety specialize in helping organizations implement effective compliance strategies and programs supporting safety












