AS-PHALT – LLM driven Hazard Analysis

Are you prepared to transform your safety engineering processes? Our AS-PHALT proof-of-concept harnesses the power of AI-driven Large Language Models (LLMs) to significantly streamline the comprehensive Hazard Analysis, a crucial yet time-intensive phase required by safety standards like IEC 61508. By automating the exploration of the analysis space, we enable clients to minimize resource investment while enhancing efficiency and reliability in their safety assessments. At Fraunhofer IKS, we are dedicated to advancing these vital engineering processes, ensuring that you can focus on what matters most.

Challenge: Safety assessment for complex applications

Technological innovations are rapidly pushing the boundaries of what is possible in the automation field. However, as more complex applications become technically feasible, the complexity of the required safety engineering activities is also rising. Consequently, safety engineering is frequently perceived as a blocker to innovation, as the associated costs reduce the economic viability of novel use cases.

Solution: Support from generative AI

To reduce the costs of safety engineering for complex applications, innovations that improve the efficiency of the process are required. Large Language Models could bring this efficiency gain: Leveraging the creative power of generative AI could partially automate the identification and assessment of hazards and risks.

Key Benefits:

• Immediate Impact: Experience rapid deployment of a partial solution, bypassing lengthy data collection phases, allowing you to start benefiting right away.
• Lower Barriers & Risks: Enjoy an easy setup with minimal initial data requirements, making the integration into existing processes seamless.
• Enhanced Efficiency: Free up safety experts to focus on complex issues that truly require human expertise by automating routine hazard identification and assessment tasks.
• User-Friendly Interface: Collaborate effectively with the system from the outset, thanks to a structured workflow and familiar visualization of results that foster trust and confidence.

Insight Background

At the forefront of safety engineering, we aim to tackle the complexities of safety assessments in advanced automated applications. The AS-PHALT project confronts the challenge: "How can generative AI improve efficiency in safety engineering?" By utilizing Large Language Models, we seek to transform the safety engineering landscape, making it more agile and responsive to innovation.

Our research emphasizes the integration of trustworthy AI and safety assurance in automation systems. The AS-PHALT demonstrator exemplifies a novel approach, showcasing how AI can assist in identifying and assessing hazards through an interactive, user-friendly interface.

Designed to streamline the traditionally labor-intensive Hazard Analysis process required by standards like IEC 61508, AS-PHALT accelerates assessment timelines and reduces resource investments. This allows safety engineers to focus on complex decision-making tasks that require their specialized expertise.

In-depth information

• Mind the Economic Safety Gap