Certificate Automotive AI Safety: Actionable Knowledge
-- ViewingNowThe Certificate in Automotive AI Safety: Actionable Knowledge is a comprehensive course designed to equip learners with critical skills in AI safety for the automotive industry. This course emphasizes the importance of AI safety, especially as autonomous vehicles become more prevalent.
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โข Introduction to Automotive AI Safety: Understanding the importance of AI safety in the automotive industry, including the potential risks and benefits. โข Perception Systems and Safety: Exploring object detection, lane recognition, and other perception systems, and how they contribute to AI safety. โข Predictive Analytics for Safe Autonomous Driving: Utilizing predictive analytics to improve vehicle safety and decision-making capabilities. โข Functional Safety and AI: Examining the ISO 26262 standard for functional safety and its application to AI systems in automotive applications. โข AI Ethics and Autonomous Vehicles: Discussing ethical considerations related to AI decision-making in autonomous vehicles, including dilemma situations and fairness. โข Deep Learning for Automotive Safety: Delving into the use of deep learning techniques for improving vehicle safety, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs). โข Simulation and Testing for AI Safety: Exploring the role of simulation and testing in ensuring AI safety in autonomous vehicles, including scenario-based testing and robustness testing. โข Cybersecurity and AI Safety: Examining the relationship between cybersecurity and AI safety, including potential attack vectors and mitigation strategies.
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