Introduction to Artificial Intelligence in Public Health and Safety
Expert-defined terms from the Professional Certificate in AI in Public Health and Safety course at London School of Planning and Management. Free to read, free to share, paired with a globally recognised certification pathway.
Introduction to Artificial Intelligence in Public Health and Safety #
Introduction to Artificial Intelligence in Public Health and Safety
Artificial Intelligence (AI) is revolutionizing various industries, including pu… #
As technology continues to advance, the integration of AI in these sectors is becoming increasingly important. This glossary aims to provide a comprehensive overview of key terms related to AI in public health and safety for learners in the Professional Certificate in AI in Public Health and Safety course.
A #
A
AI #
AI
AI, or Artificial Intelligence, refers to the simulation of human intelligence p… #
AI encompasses various technologies such as machine learning, natural language processing, and computer vision.
Algorithm #
Algorithm
An algorithm is a set of instructions designed to perform a specific task or sol… #
In AI, algorithms are used to process data, make decisions, and continuously improve through learning from patterns in the data.
Anomaly Detection #
Anomaly Detection
Anomaly detection is the process of identifying patterns in data that do not con… #
In public health and safety, anomaly detection using AI can help identify unusual events or behaviors that may indicate potential threats or risks.
B #
B
Big Data #
Big Data
Big data refers to large and complex datasets that are difficult to process usin… #
AI techniques such as machine learning are used to analyze big data in public health and safety to extract valuable insights.
Biometrics #
Biometrics
Biometrics involves the measurement and analysis of unique physical or behaviora… #
AI-powered biometric systems are used in public health and safety for access control and surveillance.
C #
C
Chatbot #
Chatbot
A chatbot is a computer program designed to simulate conversation with human use… #
In public health and safety, chatbots powered by AI can provide information, support, and assistance to users.
Computer Vision #
Computer Vision
Computer vision is a field of AI that enables computers to interpret and underst… #
In public health and safety, computer vision technology is used for image and video analysis, object detection, and surveillance.
D #
D
Data Mining #
Data Mining
Data mining is the process of discovering patterns, trends, and insights from la… #
AI algorithms are used in data mining to extract valuable information that can be used to improve decision-making in public health and safety.
Deep Learning #
Deep Learning
Deep learning is a subset of machine learning that uses artificial neural networ… #
Deep learning algorithms, such as deep neural networks, are used in public health and safety for tasks like image recognition and speech processing.
E #
E
Expert System #
Expert System
An expert system is a type of AI software that emulates the decision #
making abilities of a human expert in a specific domain. In public health and safety, expert systems can provide valuable insights and recommendations based on predefined rules and knowledge.
Edge Computing #
Edge Computing
Edge computing refers to the practice of processing data closer to its source ra… #
In public health and safety, edge computing powered by AI enables real-time data analysis and decision-making at the edge of the network.
F #
F
Forensic Analysis #
Forensic Analysis
Forensic analysis involves the collection, preservation, and analysis of digital… #
AI tools and techniques are used in forensic analysis in public health and safety to extract insights from digital data, such as images and videos.
G #
G
Genomic Sequencing #
Genomic Sequencing
Genomic sequencing is the process of determining the order of nucleotides in an… #
AI algorithms are used in genomic sequencing in public health to analyze genetic data, identify mutations, and understand diseases at the molecular level.
H #
H
Health Informatics #
Health Informatics
Health informatics is the interdisciplinary field that focuses on the use of inf… #
AI applications in health informatics include electronic health records, clinical decision support systems, and medical imaging analysis.
I #
I
Internet of Things (IoT) #
Internet of Things (IoT)
The Internet of Things (IoT) refers to the network of interconnected devices tha… #
In public health and safety, IoT devices powered by AI can collect and analyze real-time data to monitor environmental conditions, track disease outbreaks, and enhance emergency response.
Image Recognition #
Image Recognition
Image recognition is the process of identifying and categorizing objects, people… #
AI-powered image recognition technology is used in public health and safety for tasks like facial recognition, disease diagnosis, and surveillance.
J #
J
Justice System #
Justice System
The justice system encompasses the legal institutions and processes responsible… #
AI applications in the justice system include predictive policing, legal research, and case management tools.
K #
K
Knowledge Graph #
Knowledge Graph
A knowledge graph is a structured representation of knowledge that captures rela… #
In public health and safety, knowledge graphs powered by AI can be used to organize and link diverse sources of information for decision-making and analysis.
L #
L
Machine Learning #
Machine Learning
Machine learning is a subset of AI that enables computers to learn from data and… #
Machine learning algorithms are used in public health and safety for tasks like predictive modeling, risk assessment, and anomaly detection.
N #
N
Natural Language Processing (NLP) #
Natural Language Processing (NLP)
Natural Language Processing (NLP) is a branch of AI that focuses on the interact… #
NLP techniques are used in public health and safety for tasks like sentiment analysis, text mining, and chatbot development.
O #
O
Object Detection #
Object Detection
Object detection is the process of locating and classifying objects in images or… #
AI algorithms for object detection are used in public health and safety for tasks like identifying medical conditions in medical images, detecting weapons in security footage, and monitoring crowd behavior.
P #
P
Predictive Analytics #
Predictive Analytics
Predictive analytics is the practice of using data, statistical algorithms, and… #
In public health and safety, predictive analytics powered by AI can help identify patterns, trends, and risks for proactive decision-making and intervention.
Privacy Preservation #
Privacy Preservation
Privacy preservation involves protecting sensitive information and individual pr… #
AI techniques for privacy preservation in public health and safety include data anonymization, differential privacy, and secure multiparty computation.
Q #
Q
Quantum Computing #
Quantum Computing
Quantum computing is a type of computing that uses quantum #
mechanical phenomena, such as superposition and entanglement, to perform operations on data. Quantum computing has the potential to revolutionize AI applications in public health and safety by enabling faster and more efficient calculations for complex problems.
R #
R
Reinforcement Learning #
Reinforcement Learning
Reinforcement learning is a type of machine learning that enables an agent to le… #
Reinforcement learning algorithms are used in public health and safety for tasks like optimizing treatment plans, resource allocation, and emergency response strategies.
Robotics #
Robotics
Robotics involves the design, construction, operation, and use of robots for var… #
AI-powered robotics in public health and safety include autonomous drones for search and rescue missions, robotic surgery systems, and telepresence robots for remote monitoring and assistance.
S #
S
Sentiment Analysis #
Sentiment Analysis
Sentiment analysis is the process of analyzing and interpreting emotions, opinio… #
AI-powered sentiment analysis tools are used in public health and safety for tasks like monitoring social media for public health concerns, analyzing patient feedback, and identifying trends in public sentiment.
Security Analytics #
Security Analytics
Security analytics involves the use of data analysis and AI techniques to detect… #
In public health and safety, security analytics tools powered by AI can help identify vulnerabilities, monitor network traffic, and prevent cyber attacks on critical infrastructure.
T #
T
Telemedicine #
Telemedicine
Telemedicine is the remote delivery of healthcare services using telecommunicati… #
AI applications in telemedicine include virtual consultations, remote monitoring of patient vital signs, and diagnostic support using medical imaging analysis.
U #
U
Unsupervised Learning #
Unsupervised Learning
Unsupervised learning is a type of machine learning that involves training model… #
Unsupervised learning algorithms are used in public health and safety for tasks like clustering similar patient profiles, identifying anomalies in data, and discovering hidden relationships in healthcare datasets.
V #
V
Virtual Reality (VR) #
Virtual Reality (VR)
Virtual Reality (VR) is a computer #
generated simulation of a three-dimensional environment that users can interact with using specialized equipment, such as headsets and gloves. AI-powered VR applications in public health and safety include training simulations for emergency responders, virtual therapy sessions for mental health treatment, and immersive educational experiences for healthcare professionals.
W #
W
Workflow Automation #
Workflow Automation
Workflow automation involves the use of AI and robotic process automation to str… #
In public health and safety, workflow automation powered by AI can help improve efficiency, reduce errors, and enhance decision-making in areas such as patient care, emergency response, and public safety operations.
X #
X
Explainable AI (XAI) #
Explainable AI (XAI)
Explainable AI (XAI) refers to the development of AI systems that can provide tr… #
In public health and safety, XAI is essential for building trust, ensuring accountability, and understanding the implications of AI algorithms in critical decision-making scenarios.
Y #
Y
Yield Management #
Yield Management
Yield management is a pricing strategy that involves maximizing revenue by dynam… #
AI-powered yield management systems in public health and safety can optimize resource allocation, improve patient scheduling, and enhance operational efficiency in healthcare facilities.
Z #
Z
Zero #
Day Attack
A zero #
day attack is a cyber attack that exploits a previously unknown vulnerability in software or hardware before a fix or patch is available. AI-powered security systems in public health and safety can help detect and prevent zero-day attacks by continuously monitoring network traffic, analyzing behavior patterns, and identifying potential threats in real-time.