AI Model Deployment and Monitoring in Aviation
Expert-defined terms from the Certified Professional in AI Applications in Aviation course at London School of Business and Administration. Free to read, free to share, paired with a globally recognised certification pathway.
A/B Testing #
a method of comparing two versions of a model or system to determine which one performs better, commonly used in AI deployment to evaluate the effectiveness of different algorithms or configurations. In the context of aviation, A/B testing can be used to compare the performance of different AI models for predictive maintenance or anomaly detection.
Accuracy #
a measure of how close the predictions or outputs of an AI model are to the actual values or labels, often used to evaluate the performance of a model in AI applications such as image recognition or speech recognition. In aviation, accuracy is critical for AI systems that detect anomalies or predict maintenance needs.
Actionable Insights #
information or knowledge that can be used to inform decisions or take actions, often derived from the analysis of
Active Learning #
a technique used to select the most informative or relevant data points for labeling or annotation, often used in AI applications where data is scarce or expensive to obtain. In aviation, active learning can be used to improve the accuracy of AI models for anomaly detection or predictive maintenance.
Adversarial Attack #
a type of cyber attack that targets AI systems by manipulating or perturbing the input data to cause the model to make incorrect predictions or decisions. In aviation, adversarial attacks can pose a significant threat to the safety and security of AI systems used for autonomous vehicles or air traffic control.
Aerial Vehicle #
a type of vehicle that operates in the air, such as an airplane or helicopter, often used in aviation for transportation or reconnaissance. AI systems can be used to improve the safety and efficiency of aerial vehicles.
Agent #
Based Modeling - a technique used to model complex systems composed of autonomous agents that interact with each other and their environment. In aviation, agent-based modeling can be used to simulate the behavior of pilots or air traffic controllers.
AI #
Powered Chatbot - a type of chatbot that uses AI algorithms to understand and respond to user input, often used in aviation for customer service or technical support.
Air Traffic Control #
a system used to manage and regulate air traffic, often using AI systems to improve the safety and efficiency of air traffic management.
Air Traffic Management #
a system used to manage and regulate air traffic, often using AI systems to improve the safety and efficiency of air traffic management.
Algorithm #
a set of instructions or rules used to solve a problem or make a decision, often used in AI applications such as machine learning or optimization. In aviation, algorithms can be used to improve the safety and efficiency of operations.
Anomaly Detection #
a technique used to identify patterns or behaviors that are unusual or unexpected, often used in AI applications such as predictive maintenance or quality control. In aviation, anomaly detection can be used to identify potential safety risks or operational issues.
Application Programming Interface #
a set of rules or protocols used to interface with a system or application, often used in AI applications to integrate with other systems or services. In aviation, APIs can be used to integrate AI systems with other aviation systems.
Artificial General Intelligence #
a type of AI system that is capable of general intelligence, similar to human intelligence, often considered the holy grail of AI research. In aviation, AGI could potentially be used to improve the safety and efficiency of operations.
Artificial Intelligence #
a field of research that focuses on creating intelligent machines that can think and act like humans, often used in aviation to improve the safety and efficiency of operations.
Association Rule Learning #
a type of machine learning algorithm that is used to identify patterns or relationships in data, often used in AI applications such as recommendation systems or market basket analysis. In aviation, association rule learning can be used to identify patterns in flight data or passenger behavior.
Autoencoder #
a type of neural network architecture that is used for dimensionality reduction or feature learning, often used in AI applications such as image compression or anomaly detection. In aviation, autoencoders can be used to improve the efficiency of image processing or signal processing.
Autonomous System #
a system that is capable of autonomous operation, without human intervention, often used in aviation for unmanned aerial vehicles or autonomous ground vehicles.
Availability #
a measure of how often a system or component is available for use, often used in AI applications to evaluate the reliability of a system. In aviation, availability is critical for safety and operational efficiency.
Backpropagation #
a type of algorithm used to train neural networks, often used in AI applications such as image recognition or speech recognition. In aviation, backpropagation can be used