Start Part 2 - Artificial Intelligence
Lars Ruddigkeit, Thought Leader in Cloud, Data & Artificial Intelligence at Global AI Hub
Why Model Explainability is essential for Cyber Security?
Cyber security is a critical domain that relies on machine learning to detect and mitigate various threats and attacks. However, many AI/ML models are complex and opaque, making it difficult for human users, designers, and adversaries to understand their logic and reasoning.
This lack of transparency can lead to mistrust, misuse, or manipulation of the models, which can have serious consequences for cyber security. Therefore, there is a growing need for explainable AI (XAI), which aims to provide human-interpretable explanations for the predictions and decisions of AI/ML models.
We will also highlight the ethical and social implications of XAI such as privacy, fairness, accountability, and trust. We hope that this talk will inspire the cyber security community to adopt and leverage XAI techniques to enhance the effectiveness and robustness of the systems they try to protect. Furthermore, we believe Adversarial Machine Learning domain and Cyber Security domain will be converging in the future.