Tenders are invited for Navisp-el1-087 Verifiable Ai/Ml Techniques for Pnt Applications - Expro Plus Artificial intelligence (AI) is increasingly utilized in the PNT field, enhancing the performance and reliability of Global Navigation Satellite Systems (GNSS), from RF interference detection and mitigation to sensor fusion. The advancement and ever-increasing size of neural networks increase the complexity of applications supported by AI, and with the increasing complexity, verifiability decreases. Unreliable or biased AI systems can have serious consequences, risking damage both to the environment and to human lives, especially in domains like autonomous vehicles, UAVs, and marine applications.To overcome concerns about data biases, insufficient data, and lack of transparency, effective techniques such as data augmentation, transfer learning, and Explainable AI (XAI) methods can be employed. However, addressing issues like inaccurate specifications and algorithmic biases is even more crucial to avoid incorrect and undesirable outcomes. Therefore, it is essential to develop methods that can verify the behaviour of AI systems.Verified AI, as defined by the Association for Computing Machinery (ACM), seeks to design AI systems that provide robust assurance, ideally with provable correctness based on mathematically specified requirements. This approach is crucial to ensure reliable and trustworthy operation of AI systems in PNT applications Tender Link : https://esastar-publication-ext.sso.esa.int/ESATenderActions/filter/open
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