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@article{167180,
        author = {Vasudha Srikumar and Piyush Jain},
        title = {Dynamic Safety Intelligence A Self-Adapting Systems Engineering Framework for AI-Driven Automotive Systems},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {3},
        pages = {1780-1786},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=167180},
        abstract = {The integration of Artificial Intelligence (AI) in auto-motive systems marks a transformative era, promising enhanced safety, efficiency, and autonomy. As AI as-sumes a pivotal role, ensuring the functional safety of these algorithms becomes a critical concern, particu-larly for autonomous vehicles. This paper addresses the evolving landscape of Functional Safety (FuSa) in AI-driven automotive systems, presenting a novel ap-proach—Dynamic Safety Intelligence (DSI). DSI transcends traditional safety paradigms by introducing real-time adaptability, continuous learning, and a col-laborative interface between AI and human drivers [1].
The foundational challenge lies in the interpretability of complex AI models, the limitations of training datasets, and the dynamic nature of real-world environments. This paper draws inspiration from advancements in formal verification [8], runtime monitoring, and multi-disciplinary collaboration to propose DSI as a pio-neering framework for overcoming these challenges [5]. The DSI framework emphasizes the integration of adaptive sensor fusion, dynamic risk assessment, and human-in-the-loop validation to create a robust safety mechanism [6]. Detailed case studies demonstrate the application and efficacy of DSI in enhancing the safety and reliability of autonomous driving systems [7]. This approach aims to bridge the gap between traditional systems engineering methodologies and the emerging demands of AI integration in automotive safety [2], [3], [4].},
        keywords = {Functional Safety, Artificial Intelligence, Automotive Systems, Dynamic Safety Intelligence, Real-Time Adaptability, Continuous Learning, Human-in-the-Loop Validation, Adaptive Sensor Fusion, Autonomous Vehicles.},
        month = {November},
        }