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298 results found for "Safety"

  • AI Governance, Assurance, and Safety

    AI Governance, Assurance, and Safety As AI becomes more prevalent and sophisticated, it is being used As a result, AI governance, assurance, and safety are increasingly important and necessary. AI Safety AI safety refers to the set of principles, strategies, and techniques aimed at ensuring the AI Safety: AI safety refers specifically to ensuring that AI systems are safe and do not cause harm AI safety measures can include risk assessments, safety testing, and ethical considerations related to

  • Safety of the Intended Functionality: Re-imagining Safety in Intelligent Systems

    When it comes to intelligent systems, safety has outgrown its traditional boundaries of risk assessment While the traditional approach of Functional Safety  focuses on protecting against system failures and Functional Safety vs. It shifts the safety conversation from "How can we prevent specific failures?" It challenges us to think beyond traditional safety approaches, to see safety not as the prevention of

  • Can Research into AI Safety Help Improve Overall Safety?

    How does the car decide if it should sacrifice its own safety to save a bus load of children? Standford University, UC Berkley and OpenAI, published a paper entitled, " Concrete Problems in AI Safety It further goes on to outline several safety-related problems: Avoiding Negative Side Effects : How Solving AI safety may also improve overall workplace safety. safety.

  • Leveraging Safety Moments for AI Safety in Critical Infrastructure Domains

    can draw inspiration from the concept of "safety moments" and apply it to AI safety practices. Understanding Safety Moments Safety moments are short, focused discussions or presentations held within Extending Safety Moments to AI Safety Raising Awareness: Safety moments can be utilized to raise awareness on AI safety. Encouraging Open Dialogue: Safety moments create a safe space for employees to openly discuss safety

  • Total Safety Management

    When it comes to safety efforts the evolution towards using safety management systems (SMS) has become Integration of safety with quality, environment and productivity have also been proposed by means of: Coordination of common business processes between safety, quality, environment. It is common for safety management systems to focus their attention on correcting safety problems to Adopting Total Safety Management (TSM) will require that existing safety management systems change from

  • A Safety Model for AI Systems

    As a framework, I thought Nancy Leveson’s Hierarchical Safety Model which incorporates Rasmussen’s risk

  • The Need For Digital Twin Safety

    Digital Twin Safety In light of the risks associated with digital twins, particularly when integrating Artificial Intelligence, establishing robust safety programs is imperative to protect the public and A comprehensive Digital Twin Safety Program should encompass rigorous risk assessment, validation, and Additionally, the safety program should prioritize transparency and accountability in decision-making By implementing robust safety programs, organizations can mitigate risks, safeguard public welfare, and

  • Safety Design Principles for AI Adoption in Organizations

    Understanding this context is essential to approaching AI safety effectively. Principle 1: Protect Existing Safety Systems Do no harm to what already works. be conducted before modifying any safety-critical operation. Verify that safety is maintained or improved, not degraded. of AI Safety Engineering as a discipline.

  • AI Safety Approach (ISO PAS 8800)

    A recent IEEE webinar that I attended on AI Safety for Automotive provided valuable insights into the upcoming I SO PAS 8800 standard, introducing a pragmatic approach to AI safety assurance that I believe Rather than treating AI as a complete system overhaul, this strategy focuses on isolating specific safety At the same time, this approach acknowledges that the fundamental requirements for automotive safety What strategies are you using to advance AI Safety within your operations and systems?

  • Which is Better for AI Safety: STAMP/STPA or HAZOP/PHA?

    STAMP/STPA and traditional PHA methods like HAZOP represent fundamentally different safety analysis philosophies For AI safety analysis, STAMP/STPA appears better suited to AI's systemic and emergent risks, but the Rather than viewing these as competing methodologies, the most thoughtful approach recognizes that AI safety

  • AI in PSM: A Double-Edged Sword for Process Safety Management

    Process safety management (PSM) stands as a vital defence against hazards in high-risk industries.  Paper Safety The chasm between documented procedures and actual practices can pose a significant safety Guaranteeing absolute safety.  True safety demands constant vigilance and a healthy dose of skepticism. What are your thoughts on the role of AI in Process Safety Management (PSM)?

  • The Two Towers of Safety: Be Safe, Act Safe

    When it comes to safety there are two schools of thought. significantly to improving occupational safety. This is where the two schools of safety come in. Safety Science. 85. 241-257. 10.1016/j.ssci.2015.12.022. of Safety, https://www.ehstoday.com/safety-leadership/safety-and-performance-excellence-two-dimensional-safety

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