Subject UT1 Flashcards
(33 cards)
What are the six stages of the AI Project Cycle
Problem scoping data acquisition data exploration modelling evaluation deployment
What is the purpose of problem scoping
To define the goal and understand the problem
What is data acquisition
Gathering data from reliable sources
What is data exploration
Visualizing data to find patterns and relationships
What happens during the modelling stage
Selecting and testing different models
What is deployment in the AI Project Cycle
Integrating the AI solution into the real world
What are the three domains of AI
Statistical data computer vision natural language processing
What is statistical data in AI
Using large datasets to derive insights and make decisions
Give an example of statistical data usage
Price comparison websites
What is computer vision
Teaching machines to interpret and understand visual information
Give one example of computer vision application
Facial recognition or self driving cars
What is natural language processing
Enabling computers to understand and respond to human language
Give an example of NLP
Email spam filters or language translation
What is a framework
A structured approach to solve problems step by step
What is an ethical framework
A structured guide to help make morally responsible decisions
Why do we need ethical frameworks for AI
To prevent harm and ensure morally acceptable outcomes
Name two main types of ethical frameworks
Sector based and value based
What is a sector based framework
Ethical approach customized for a specific field like healthcare
What is a value based framework
Framework that focuses on ethical principles and values
What are the three value based ethical frameworks
Rights based utility based virtue based
What is bioethics
An ethical framework used in healthcare and life sciences
What are the four principles of bioethics
Respect for autonomy do not harm maximum benefit justice
What is Artificial Intelligence
A technique that enables machines to mimic human intelligence
What is Machine Learning
A subset of AI that improves performance with data and experience