Introduction to Artificial Intelligence Flashcards
What is Diagnostic/descriptive AI?
Focuses on assessing the correctness of behavior by analyzing historical data to understand what happened and why.
This type of AI is useful for evaluating past actions and decisions.
What does Predictive AI do?
Concerned with forecasting future outcomes based on historical and current data.
Predictive AI is often used in fields like finance and marketing.
What is the main focus of Prescriptive AI?
Focuses on determining the optimal course of action by providing recommendations based on data analysis.
It helps organizations make informed decisions.
What does Generative/cognitive AI produce?
Involved in producing various types of content, such as code, articles, images, and more.
This type of AI can create new content rather than just analyzing or predicting.
What characterizes Reactive AI?
Designed to respond to specific inputs with predetermined responses.
Reactive AI does not have memory or the ability to learn from past experiences.
What is Limited memory AI?
Have the ability to use past experiences to inform current decisions.
This type of AI can learn from historical data but does not retain long-term memory.
What is the goal of Theory of Mind AI?
Advanced type of AI that aims to understand human emotions, beliefs, and intentions.
This level of AI is still largely theoretical and not yet fully realized.
What defines Self-aware AI?
Represents the most advanced form of AI, which has its own consciousness and self-awareness.
Self-aware AI is a concept often explored in science fiction.
What is Narrow AI (Weak AI)?
Designed to perform a specific task or a limited range of tasks.
Most current AI applications are examples of Narrow AI.
What does General AI (Strong AI) refer to?
Can understand, learn, and apply knowledge across a wide range of tasks like human intelligence.
General AI remains an area of research and has not yet been achieved.
Diagnostic/descriptive AI Capabilities
Diagnostic or descriptive AI focuses on assessing the correctness of behavior by analyzing historical data to understand what happened and why. This type of AI is instrumental in identifying patterns and trends, performing comparative analyses, and conducting root cause analyses.
Diagnostic/descriptive AI
Capabilities:
Scenario planning: Helps in creating different future scenarios based on historical data.
Pattern/trends recognition: Identifies recurring patterns and trends within data sets.
Comparative analysis: Compares various data points to find correlations and insights.
Root cause analysis: Determines the underlying reasons behind specific outcomes.
Predictive AI Capabilities
Predictive AI is concerned with forecasting future outcomes based on historical and current data. This type of AI is used extensively in predicting customer behavior, market trends, and other forward-looking insights.
Predictive AI
Capabilities:
Forecasting: Predicts future trends and events.
Clustering and classification: Groups similar data points and classifies them into predefined categories.
Propensity model: Assesses the likelihood of specific outcomes based on current data.
Decision trees: Utilize a tree-like model of decisions to predict outcomes.
Prescriptive AI Capabilities
Prescriptive AI focuses on determining the optimal course of action by providing recommendations based on data analysis. It goes beyond prediction by suggesting actions that can help achieve desired outcomes.
Prescriptive AI
Capabilities:
Personalization: Tailors recommendations and experiences to individual needs.
Optimization: Identifies the most efficient ways to achieve goals.
Fraud prevention: Detects and prevents fraudulent activities through analysis.
Next best action recommendation: Provides actionable insights on the next steps to take.
Generative/cognitive AI Capabilities
Generative or cognitive AI is involved in producing various types of content, such as code, articles, images, and more. This type of AI mimics human creativity and cognitive processes to automate and assist in content creation.
Generative/cognitive AI
Capabilities:
Advises: Offers expert advice and recommendations.
Creates: Produces new content, such as text, images, and code.
Protects: Enhances security measures through intelligent analysis.
Assists: Provides assistance in various tasks, improving efficiency.
Automates: Automates repetitive tasks to save time and resources.
Reactive AI Capabilities
Reactive AI systems are designed to respond to specific inputs with predetermined responses. They do not have memory or the ability to learn from past experiences, making them suitable for tasks that require immediate reactions.
Reactive AI
Capabilities:
Rule-based actions: Executes specific actions based on predefined rules.
Instant responses: Provides immediate responses to inputs.
Static data analysis: Analyzes current data without considering past interactions.
Limited memory AI Capabilities
Limited memory AI systems have the ability to use past experiences to inform current decisions. They can learn from historical data to improve their performance over time. This type of AI is commonly used in autonomous vehicles and recommendation systems.
Limited memory AI:
Capabilities:
Learning from data: Uses historical data to make informed decisions.
Pattern recognition: Identifies patterns over time to improve accuracy.
Adaptive responses: Adapts responses based on previous interactions.
Theory of Mind AI Capabilities
Theory of Mind AI is an advanced type of AI that aims to understand human emotions, beliefs, and intentions. It is still in the research stage and seeks to interact more naturally with humans by comprehending their mental states.
Theory of Mind AI:
Capabilities:
Emotion recognition: Identifies and responds to human emotions.
Social interaction: Engages in more natural and human-like interactions.
Intent prediction: Predicts human intentions based on context and behavior.
Self-aware AI Capabilities
Self-aware AI represents the most advanced form of AI, which has its own consciousness and self-awareness. This type of AI can understand and react to its own emotions and states. It remains a theoretical concept and has not yet been realized.
Self-aware AI:
Capabilities:
Self-diagnosis: Evaluates its own performance and health.
Autonomous learning: Learns independently without human intervention.
Adaptive behavior: Adjusts behavior based on self-awareness.
Narrow AI (Weak AI) Capabilities
Narrow AI is designed to perform a specific task or a limited range of tasks. It excels in a single area but lacks generalization capabilities. Most current AI applications fall under this category.
Narrow AI (Weak AI):
Capabilities:
Task specialization: Excels in performing specific tasks.
High accuracy: Achieves high performance in its designated area.
Efficiency: Operates efficiently within its scope of specialization.
General AI (Strong AI) Capabilities
General AI, like human intelligence, can understand, learn, and apply knowledge across a wide range of tasks. It can also transfer knowledge from one domain to another and adapt to new situations autonomously.
General AI (Strong AI):
Capabilities:
Cross-domain learning: Applies knowledge across various domains.
Autonomous decision making: Makes decisions independently in diverse scenarios.
Human-like understanding: Understands and processes information similar to humans.
