Publicerad: 2024-11-04
Master Thesis: Leveraging AI Technology
The rapid advancement of technology brings about significant benefits but also poses potential risks to the environment, property, and human safety. Traditional safety assurance frameworks and methodologies have been effective, yet they often struggle to keep pace with the complexity and dynamism of modern technological systems. The integration of artificial intelligence (AI) presents an opportunity to enhance these frameworks, providing more robust, adaptive, and proactive safety assurance mechanisms.
Key Questions
How can AI technology be integrated into existing safety assurance frameworks to enhance the identification, assessment, and mitigation of risks to the environment, property, and human safety in modern technological systems?
Objectives
* To review and analyze current safety assurance frameworks and methodologies.
* To explore the capabilities of AI in risk identification, assessment, and mitigation.
* To develop a conceptual model or framework that integrates AI into existing safety assurance processes.
* To evaluate the effectiveness of the proposed AI-enhanced framework through case studies or simulations.
Methodology
* Literature Review: Conduct a comprehensive review of existing safety assurance frameworks and methodologies, and identify their strengths and limitations.
* AI Capabilities Analysis: Investigate various AI techniques (e.g., machine learning, natural language processing, and predictive analytics) and their potential applications in safety assurance.
* Framework Development: Design a conceptual model that integrates AI into traditional safety assurance frameworks, outlining how AI can enhance each phase of the safety assurance process.
* Validation: Apply the proposed model to real-world case studies or simulations to assess its effectiveness in improving safety outcomes.
Expected Outcomes
* A detailed understanding of the current state of safety assurance frameworks and their limitations.
* Insights into how AI can be utilized to enhance safety assurance processes.
* A conceptual model or framework that demonstrates the integration of AI with traditional safety assurance methodologies.
* Evidence of the effectiveness of the AI-enhanced framework through practical applications or simulations.
Significance
This research aims to bridge the gap between traditional safety assurance practices and modern technological advancements. By integrating AI into safety assurance frameworks, the study seeks to provide a more dynamic, efficient, and effective approach to managing risks associated with technological systems. The outcomes of this research could have significant implications for industries reliant on technology, contributing to safer, more sustainable practices.
Who are you?
Applicants should have a keen interest in the intersection of technology, safety, and AI. Further interests and skill is preferable:
* Engineering or a related technical field: Understanding of technological systems and their safety implications is fundamental.
* Artificial Intelligence concepts and techniques: Knowledge of machine learning, data analysis, and AI applications in safety-critical domains would be highly beneficial.
* Research and analytical skills: The ability to conduct literature reviews, analyze data, and develop innovative solutions is key.
* Strong communication and writing skills: Clearly articulating complex technical concepts in a concise and understandable manner is important for both the thesis and potential presentations.
Number of Students: Suitable for two students
Credits: Suitable for 30 HP
As the position involves work that is covered by confidentiality, it is required that you complete and pass a security assessment.
Selection is ongoing. We look forward to your application!
Make a difference
We at Combitech are accelerating the development of a smarter, more sustainable and more resilient society. By combining our solid experience within defence- and industry sectors, we contribute to society by enabling the industry, total defence and communities to withstand the challenges and leverage the opportunities of tomorrow.
As a Nordic tech solution and consulting partner with 2200 passionate, highly skilled experts at our core, we partner with our customers to push the boundaries of technology and make a difference.
CONTACT
Andreas Kristensson ++46 73 4376533
Key Questions
How can AI technology be integrated into existing safety assurance frameworks to enhance the identification, assessment, and mitigation of risks to the environment, property, and human safety in modern technological systems?
Objectives
* To review and analyze current safety assurance frameworks and methodologies.
* To explore the capabilities of AI in risk identification, assessment, and mitigation.
* To develop a conceptual model or framework that integrates AI into existing safety assurance processes.
* To evaluate the effectiveness of the proposed AI-enhanced framework through case studies or simulations.
Methodology
* Literature Review: Conduct a comprehensive review of existing safety assurance frameworks and methodologies, and identify their strengths and limitations.
* AI Capabilities Analysis: Investigate various AI techniques (e.g., machine learning, natural language processing, and predictive analytics) and their potential applications in safety assurance.
* Framework Development: Design a conceptual model that integrates AI into traditional safety assurance frameworks, outlining how AI can enhance each phase of the safety assurance process.
* Validation: Apply the proposed model to real-world case studies or simulations to assess its effectiveness in improving safety outcomes.
Expected Outcomes
* A detailed understanding of the current state of safety assurance frameworks and their limitations.
* Insights into how AI can be utilized to enhance safety assurance processes.
* A conceptual model or framework that demonstrates the integration of AI with traditional safety assurance methodologies.
* Evidence of the effectiveness of the AI-enhanced framework through practical applications or simulations.
Significance
This research aims to bridge the gap between traditional safety assurance practices and modern technological advancements. By integrating AI into safety assurance frameworks, the study seeks to provide a more dynamic, efficient, and effective approach to managing risks associated with technological systems. The outcomes of this research could have significant implications for industries reliant on technology, contributing to safer, more sustainable practices.
Who are you?
Applicants should have a keen interest in the intersection of technology, safety, and AI. Further interests and skill is preferable:
* Engineering or a related technical field: Understanding of technological systems and their safety implications is fundamental.
* Artificial Intelligence concepts and techniques: Knowledge of machine learning, data analysis, and AI applications in safety-critical domains would be highly beneficial.
* Research and analytical skills: The ability to conduct literature reviews, analyze data, and develop innovative solutions is key.
* Strong communication and writing skills: Clearly articulating complex technical concepts in a concise and understandable manner is important for both the thesis and potential presentations.
Number of Students: Suitable for two students
Credits: Suitable for 30 HP
As the position involves work that is covered by confidentiality, it is required that you complete and pass a security assessment.
Selection is ongoing. We look forward to your application!
Make a difference
We at Combitech are accelerating the development of a smarter, more sustainable and more resilient society. By combining our solid experience within defence- and industry sectors, we contribute to society by enabling the industry, total defence and communities to withstand the challenges and leverage the opportunities of tomorrow.
As a Nordic tech solution and consulting partner with 2200 passionate, highly skilled experts at our core, we partner with our customers to push the boundaries of technology and make a difference.
CONTACT
Andreas Kristensson ++46 73 4376533